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Capgemini Invent is seeking a Fixed-Term Director in the Intelligent Industry – Supply Chain Advisory practice. You will lead large-scale logistics transformation engagements, shaping end-to-end supply chains for the duration of engagements.

You will advise senior executives, drive AI/GenAI-enabled decision intelligence, and grow the practice with new offerings and client relationships. You will mentor teams, lead cross-functional delivery, and contribute to market leadership through thought

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Excited to grow your career?

We value our talented employees and instill an environment where you feel engaged, satisfied and able to contribute your unique skills and talents while living and working as your authentic self. We provide extensive opportunities for personal and professional development, building employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Our people make all the difference in our success.

Summary

In this role, you will lead the strategy, architecture, and execution of enterprise Identity & Access Management (IAM) engineering solutions that support secure, scalable authentication and authorization across customer-facing Software as a Service (SaaS) offerings. You will define and execute a multi-year technology roadmap to modernize IAM capabilities, advance next-generation authorization frameworks, and expand identity services to support non-human workloads and agentic AI. You will collaborate with cross-functional teams to deliver secure, high-performing platforms while fostering engineering excellence, operational maturity, and innovation through the strategic adoption of AI.

Responsibilities

• Define and execute the multi-year engineering strategy and roadmap for authentication and authorization platforms across enterprise SaaS solutions.
• Lead the modernization of authorization capabilities by advancing unified frameworks that support relationship-based access control (ReBAC), attribute-based access control (ABAC), and Policy-as-Code architectures.
• Develop scalable identity solutions that support human users, non-human workloads, short-lived credentials, and emerging agentic AI identities.
• Oversee architecture, design, development, deployment, and continuous improvement of IAM platforms to ensure high availability, scalability, security, and reliability.
• Manage, mentor, and develop engineering leaders and teams while fostering a culture of technical excellence, innovation, and continuous delivery.
• Collaborate with cross-functional technology, product, security, and business teams to align IAM capabilities with organisational priorities and client needs.
• Establish engineering standards, operational metrics, and performance indicators to drive platform stability, service quality, and continuous improvement.
• Manage engineering budgets, operational planning, resource allocation, and roadmap prioritisation to optimise delivery and cost efficiency.
• Advance the adoption of AI-enabled engineering practices that improve software development, testing, code quality, operational efficiency, and delivery velocity.
• Evaluate emerging identity, cloud, and security technologies to continuously evolve platform capabilities and support future business growth.

Qualifications

• Relevant degree in Computer Science, Engineering, or equivalent work experience preferred; Advanced degree preferred.
• 7 or more years of relevant experience required.
• Extensive software engineering experience with progressive leadership responsibilities, including leading IAM, security engineering, or core infrastructure teams within SaaS or highly regulated healthcare or technology environments required.
• Demonstrated ability to influence technical strategy and build alignment across engineering, product, security and executive leadership required.
• Deep knowledge of authentication and identity standards, including OAuth 2.0, OpenID Connect (OIDC) and SAML required.
• Experience designing and implementing fine-grained authorization models, including ReBAC, ABAC, Zanzibar-style architectures and policy-as-code frameworks such as Open Policy Agent (OPA) or Cedar required.
• Knowledge of workload identity, machine identity, secrets management and identity solutions supporting autonomous AI agents required.
• Strong cloud-native engineering experience with Azure and AWS, Kubernetes, API design, event-driven architectures, observability and modern software delivery practices required.
• Demonstrated success leading engineering organisations through strategic transformation, operational excellence and AI-enabled software engineering practices.
• Excellent written, verbal and executive communication skills with the ability to translate complex technical concepts into actionable business strategies.

Career Framework

Management - Director (M3)

Estimated Hiring Range

At Vizient, we consider skills, experience and organisational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $135,200.00 to $236,600.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

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Accenture is a leading solutions and services company that helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across the enterprise, bringing together the talent of our approximately 786,000 people, our proprietary assets and platforms, and deep ecosystem relationships. Our strategy is to be the reinvention partner of choice for our clients and to be the most client-focused, AI-enabled, great place to work in the world. Through our Reinvention Services we bring together our capabilities across strategy, consulting, technology, operations, Song and Industry X with our deep industry expertise to create and deliver solutions and services for our clients. Our purpose is to deliver on the promise of technology and human ingenuity, and we measure our success by the 360° value we create for all our stakeholders. Visit us at accenture.com.

The Global Capability Center (GCC) Engineering Lead/Principal Director is responsible for shaping engineering capabilities that enable successful GCC design and setup. In this role you will provide engineering expertise across client opportunities, responding to market demand while driving scalable, integrated, and future-ready engineering solutions.

Responsibilities Include:

• Support client origination, sales, and the delivery of GCC setup engagements at headquarters, bringing deep expertise in product engineering, platform engineering, software delivery, and engineering operating models.

• Work closely with solution teams and client stakeholders, define engineering strategies, design scalable product and platform delivery models, and recommend engineering approaches that align with the target operating model and business objectives.

• Help establish modern engineering practices, delivery frameworks, and governance that enable high-quality, efficient, and scalable engineering operations within the GCC.

• Contribute to enterprise transformation programs with impact at HQ, ensuring engineering capabilities support broader business transformation goals and accelerate digital innovation.

• Ability to travel up to 50% is required.

Here’s what you need:

• Minimum of 12 years of relevant experience, with significant experience dedicated to GCC/GBS strategy, organization design, operating models, and large-scale business transformation.

• Minimum of 3 years of experience in engineering, supply chain, manufacturing, product development, or Industry X transformation, including leading and delivering complex cross-functional programs across engineering, operations, technology, and business teams.

• Minimum of 2 years of experience in building and scaling engineering organizations, product engineering teams, and global delivery centers within GCC/GBS environments, including establishing engineering operating models, delivery excellence frameworks, and innovation-led capabilities.

• Minimum of 1 year leveraging AI-enabled engineering tools, intelligent automation, developer productivity platforms, and data-driven engineering insights to improve innovation, delivery speed, quality, and business outcomes.

Preferred Qualifications:

• Strong understanding of modern engineering practices, including agile development, cloud-native architectures, automation, DevOps, digital engineering, and software quality engineering.

• Demonstrated experience designing and implementing engineering governance frameworks, capability-building strategies, and scalable delivery models that drive business value, innovation, and operational excellence.

• Experience leading large-scale engineering transformation initiatives, leveraging digital technologies to improve product development, engineering operations, manufacturing efficiency, and supply chain performance.

• Strong analytical, problem-solving, and stakeholder management skills, with the ability to influence C-suite executives and senior business leaders.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 08/31/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture (

Role Location Annual Salary RangeCalifornia $150,900 to $387,800Cleveland $150,900 to $387,800Colorado $150,900 to $387,800District of Columbia $150,900 to $387,800Illinois $150,900 to $387,800Maine $150,900 to $387,800Maryland $150,900 to $387,800Massachusetts $150,900 to $387,800Minnesota $150,900 to $387,800New York $150,900 to $387,800New Jersey $150,900 to $387,800Virginia $150,900 to $387,800Washington $150,900 to $387,800

Requesting an Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of theAccenture Equal Opportunity Statement (

Accenture is an EEO and Affí mative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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Here at Siemens, we take pride in enabling sustainable progress through technology. We do this through empowering customers by combining the real and digital worlds. Improving how we live, work, and move today and for the next generation! We know that the only way a business thrives is if our people are thriving. That’s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you?

Transform the everyday with us!

About Smart Infrastructure – Electrification and Automation:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability, and internationality. Siemens Smart Infrastructure, Electrification & Automation (EA) business unit is headquartered in Wendell, NC. The EA Business Unit has a diverse portfolio of products, including, but not limited to, low-voltage MCC, CMR fuse saver, MV switchgear, MV circuit breakers, and metering, power monitoring, power quality, and protective relay maintenance and systems of a standard nature.

Siemens Smart Infrastructure is seeking a Design Engineering Manager for our Protection & Automation Panels manufacturing business in Wendell, NC , with a focus on UL508A subset panel applications. In this role, you will lead a growing engineering team that converts customer documentation (PDFs, one-lines, schematics, and layouts) into manufacturing-ready engineering packages , enabling high-quality, repeatable production. You will drive adoption of 3D digital twin practices , enable wire-length automation outputs for production efficiency, and govern part library standards to improve engineering-to-manufacturing flow, quality, and cycle time—while building the training and processes needed to become best-in-class.

You’ll make an impact by:

• Leading the end-to-end engineering package development for Protection & Automation panels (UL508A subset), translating customer PDFs/schematics into complete, error-resistant manufacturing deliverables (BOMs, drawings, wiring documentation, routings/work instructions) that enable right-first-time builds.
• Establishing and scaling 3D digital twin standards for panel mechanical/electrical integration, ensuring designs are manufacturable, serviceable, and consistent across projects while supporting faster change incorporation and lessons learned.
• Enabling wire-length automation outputs (cut lists, routing assumptions, harness/wire documentation, and data outputs to downstream tools/processes) to reduce shop-floor ambiguity, improve labor predictability, and increase throughput.
• Owning part library governance (attributes, approved alternates, footprints/models, naming conventions, revision control, and obsolescence/standardization strategy) to improve design reuse, cost control, and supply-chain resilience.
• Building best-in-class engineering processes and training, including onboarding paths, design reviews, standard work, checklists, and continuous improvement loops with manufacturing and quality to prevent recurrence of defects.
• Developing and coaching a high-performing team (prioritization, workload management, technical mentorship, cross-functional escalation) while maintaining hands‑on technical credibility and driving a culture of knowledge sharing and continuous improvement.

You’ll win us over by having the following qualifications:

Basic Qualifications:

• Bachelor’s degree in Engineering (Mechanical, Electrical, or related) or equivalent practical experience.
• 5+ years in panel/equipment engineering or a closely related manufacturing engineering environment, with demonstrated ownership of design deliverables used in production.
• 2+ years of people leadership (or strong team‑lead experience) with ability to coach, develop, and scale engineering capability.
• Experience converting customer documentation (PDFs/schematics/one‑lines) into manufacturing‑ready engineering packages (drawings, BOMs, wiring documentation, and shop deliverables).
• Proficiency with CAD tools (2D and/or 3D) and disciplined document control practices; comfortable driving standardization and reuse.
• Siemens NX and TC experience for digital twin approach.
• Working knowledge of BOM structures and ERP/MRP processes (SAP or similar) to ensure accurate material definitions and change control.

Preferred Qualifications:

• Familiarity with UL508A (subset) requirements as applied to industrial control/panel builds (documentation rigor, labeling, component selection discipline).
• Experience implementing or governing libraries/standards (parts, CAD models, templates, naming conventions, revisioning) in a high‑mix engineered‑to‑order environment.
• Demonstrated success driving engineering‑to‑manufacturing process transformation (standard work, checklists, design reviews, training systems, continuous improvement cadence).
• Exposure to digital twin / model‑based practices and creating structured data outputs that downstream production teams can reliably execute (e.g., wire cut lists, routing outputs, or work‑instruction automation).

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource‑efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers. Learn more about Siemens here.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

Salary: $83,966 – $143,942 (5%)

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Principal Associate, Product Designer

Product Designer

(Principal Associate level - IC)

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We’re succeeding because they’re succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we’re on a quest to change banking for good.

This is a Hybrid position located in Plano, TX. Relocation to Plano, TX is required if you're not located in the Dallas, TX area.

We’re currently seeking a Product Designer to join our Experience Design team. We’re passionate about creating memorable, meaningful product experiences that build the Capital One brand with humanity and drive business advantage and innovation.

The Experience Design team at Capital One is at the forefront of enriching our customers’ digital and physical experiences. We champion a thriving environment of collaboration, authenticity and healthy critique, in which we honor diversity of thought, create a culture of belonging, and elevate one another. If you’re a creative innovator who embraces an environment where you can experiment, learn, and change banking for good, we’d love to hear from you.

Role Expectations

As a Product Designer, you’ll combine your craft expertise with an understanding of our customers and the business to co-create innovative solutions to complex problems.

Here are some of the expected competencies for this role:

Product Design Expertise: Leverage deep expertise in product design and skills across interaction, visual and service design to elevate the quality and maturity of the design practice at Capital One; in collaboration with cross-functional partners, use appropriate tools, platforms, frameworks and design systems and work with teams to create artifacts that may include journey maps, blueprints, high-fidelity designs and prototypes

Human-Centered: Champion the customer through the design process, leveraging critical-thinking skills that factor in data, research insights, scalability, tech constraints and feedback

Business-Focused: Understand and apply business and customer strategy, facilitate design process activities with team and partners, negotiating customer needs and business goals for harmonious outcomes

Problem-Solving: Actively build an understanding of the potential of tech and data capabilities and emerging technologies and use this knowledge to inform work, identify new opportunities and help your team navigate technical limitations

Collaboration: Foster relationships with partners and continuously expand your network, listening to diverse points of view and collaborating with an informed perspective to influence outcomes, break down silos and gain alignment

Communication: Present work to audiences across levels and job functions using a human-centered approach that integrates design frameworks, data and research insights to effectively articulate insights and design decisions

The ideal candidate has a strong portfolio demonstrating their process, results, and impact.

Basic Qualifications

• At least 3 years of experience in a Product Design role

• At least 3 years of experience with design and prototyping tools, such as Figma

Preferred Qualifications

• At least 4 years of experience in a Product Design role

• At least 4 years of experience with design and prototyping tools, such as Figma

• At least 4 years of experience collaborating with product, tech and business partners

• At least 4 years of experience working with an established design system

• Experience working in heavily regulated, data heavy problem spaces

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Plano, TX: $119,400 - $136,200 for Pr. Associate, Design

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website ( . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Interested in helping us transform thermal and electric energy? Become a part of the leading Generation‑IV nuclear plant development team. Come join us at Terrestrial Energy, a U.S. developer of advanced, Generation‑IV nuclear reactors. We are growing our workforce to develop and deploy our Integral Molten Salt Reactor (IMSR) small modular nuclear plant to provide cost‑competitive, clean firm heat and power to industry.

The company has recently completed a merger creating a publicly listed operating company (NASDAQ “IMSR”) to secure the capital resources for our next growth phase. With the current alignment of U.S. Federal and State government, as well as industry interest in small modular reactors (SMR) and advanced reactor technologies such as Terrestrial Energy’s IMSR, there is today a unique and compelling opportunity to participate in the execution of the company’s growth business plan.

The company is building a team of high‑performing business professionals and leaders in engineering, R&D, product management and business development at our Charlotte, North Carolina headquarters and future project sites. We are looking for talented individuals who can help build the organization, processes and goal‑oriented corporate culture to lead the company in its expansion. We are seeking people who:

• Have U.S. market experience and perspectives bringing good judgment and innovative approaches to problem solving and business plan execution.
• Have demonstrated exceptional performance in past engineering projects.
• Offer exceptional leadership and team‑building capabilities.
• Have a deep understanding of the requirements for advanced reactor development.
• Can assist in the creation of the discipline and organized company structure, and contributed to a culture of excellence, necessary for the development and deployment of the company’s IMSR plant.
• Can thrive in a fast‑growing business environment, and are capable of flexibility and adaptability at a time of organizational change.
• Have the specific skill‑set and experience for the following role.

The experienced Mechanical Engineering Manager, reporting to the Engineering Director, will primarily be responsible for leading our mechanical engineering function within a dynamic matrix organization. This senior leadership role will provide functional management for the Mechanical Engineering, Stress Analysis, CAD Design, and Thermal Hydraulic groups, ensuring technical excellence while supporting project delivery across multiple programs. The successful candidate will be responsible for building and maintaining a world‑class engineering team capable of delivering innovative solutions for the commercialization of the Integral Molten Salt Reactor.

Key Responsibilities

• Serve as the functional leader responsible for the supervision, professional development, and technical qualification of mechanical engineering staff across multiple disciplines.
• Establish and maintain engineering standards, processes, and procedures that ensure compliance with nuclear industry codes and standards including ASME, CSA, and relevant regulatory requirements.
• Engage in workforce planning, recruitment, and retention strategies to build organizational capability aligned with business objectives.
• Provide technical oversight and guidance to ensure engineering deliverables meet quality standards and project requirements while fostering a culture of innovation and continuous improvement.
• Collaborate closely with project managers and other functional leaders to allocate resources effectively, balance workload across the Engineering Department, and resolve competing priorities.
• Account for the performance management of your team, including conducting regular reviews, identifying skill gaps, and creating individual development plans that support both employee growth and organizational needs.
• Serve as a technical lead within the organization, participating in design reviews, providing input on major technical decisions, and representing the mechanical engineering function in interactions with regulators, customers, and industry partners.
• Champion safety culture and ensure adherence to quality assurance protocols throughout all engineering activities.

Requirements

Education

• Bachelor's degree in Mechanical Engineering or closely related engineering discipline from an accredited institution.
• Professional Engineering (P.Eng.) license or equivalent professional registration.

Experience

• Minimum 10 years of progressive engineering experience.
• Minimum 5 years in leadership or management capacity overseeing multidisciplinary technical teams.
• Substantial experience in the nuclear industry or other highly regulated sectors (pressure vessel design, power generation, or aerospace).
• Demonstrated experience working within matrix organizational structures.
• Proven track record managing resources across multiple concurrent projects.

Technical Knowledge

• Strong knowledge of ASME Boiler and Pressure Vessel Code.
• Familiarity with ASME B31.1 and B31.3 piping codes.
• Understanding of CSA nuclear standards and relevant regulatory requirements.
• Experience with engineering analysis tools and CAD systems.
• Working knowledge of stress analysis and thermal hydraulic principles.

Leadership & Management

• Excellent leadership and people management skills.
• Proven ability to build high‑performing teams and develop engineering talent.
• Strong technical communication skills with ability to explain complex concepts to diverse audiences.
• Experience conducting performance reviews and creating professional development plans.

Cross‑Functional Collaboration

• Demonstrated ability to work effectively across organizational boundaries with multiple departments.
• Experience partnering with R&D teams to identify engineering data requirements, develop test specifications, and translate research and testing results into practical engineering applications.
• Strong collaboration skills with Safety and Licensing functions to support regulatory compliance and licensing submissions.
• Proven track record working with QA organizations to maintain documentation and quality standards.
• Ability to interface with IT departments on engineering software implementation, data management, and digital infrastructure.
• Experience facilitating cross‑functional design reviews and technical meetings with diverse stakeholders.
• Skills in managing competing priorities and resolving technical issues that span multiple departments.

Assets

• Advanced degree (Master's or PhD) in Mechanical Engineering, Nuclear Engineering, or related field.
• Direct experience within the nuclear power industry, particularly with advanced reactor technologies or molten salt systems.
• Strong knowledge of ASME Boiler and Pressure Vessel Code Section III Division 5.
• Familiarity with United States Nuclear Regulatory Commission, United States Department of Energy, and/or Canadian Nuclear Safety Commission licensing processes and regulatory requirements.
• Experience with finite element analysis (FEA) and computational fluid dynamics (CFD).
• Background in advanced simulation and modeling techniques.
• Previous involvement in nuclear licensing or regulatory submissions.

Benefits

• Extended Healthcare Plan.
• A vacation policy designed to support your work‑life balance.
• EAP Programs available to you and your family.
• Wellness Subsidy.
• Annual Performance Review.
• Paid Volunteer Days – A chance to give back!
• Career development opportunities.

Please submit a Resume and Cover Letter.

Candidates must be legally authorized to work in the U.S. without the need for sponsorship for employment visa status.

Terrestrial Energy requires that the successful candidate be able to access and use information subject to U.S. Export Control Laws, which mandate all citizenships (including dual citizenships) be from the U.S. Department Of Energy’s list of generally authorized countries (10 CFR Part 810 Appendix A). Additional information can be found here: or

Terrestrial Energy Inc. is an equal opportunity employer and does not discriminate on the basis of any legally protected status or group. We encourage applications from all qualified individuals.

If you require accommodation during the application or interview process, please advise us as soon as possible so appropriate arrangements can be made. If you require technical support in a format that is accessible to you, please contact

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Consor is seeking a senior roadway design engineer in a hybrid role based in California. You will design and detail local, county, and state road projects, perform geometry analyses, and support documentation and estimates. Expect a blend of office and field work with potential weather exposure.

Requirements include a BS in Civil Engineering, 4+ years of transportation experience, a PE license, and proficiency in MicroStation, AutoCAD, and Civil3D. Salary ranges from $90,000 to $150,000 yearly.

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Adamas Energy seeks a Director of Operations Engineering to provide enterprise-level leadership across operated assets and strategic engineering priorities. This executive role will guide Production, Facilities, and Engineering Technology while partnering with senior leadership to drive performance, capital efficiency, and long-term asset value.

The role requires 10+ years in oil & gas, with 3–5+ years in engineering leadership, and a proven ability to lead multidisciplinary teams.

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We are looking for a Middle/Senior MLOps Engineer to own the complete lifecycle transition from AI/ML experimentation to reliable production deployment, building and maintaining the infrastructure, pipelines, and automation needed to deploy models efficiently at scale. You will implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost‑effective scalability. The role is based onsite in Dallas, TX, and requires close collaboration with data scientists and AI researchers to translate experimental models into production‑ready solutions.

What you will do

• Own the complete lifecycle transition from AI/ML experimentation to reliable, high‑performance production deployment;
• Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment;
• Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability;
• Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production;
• Partner closely with data scientists and AI researchers to translate experimental models into robust, production‑ready solutions;
• Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost‑effective.

Must haves

• Professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering ;
• Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience);
• Hands‑on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring ;
• Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources;
• Deep understanding of containerization (e.g., Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments;
• A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers;

Perks and Benefits

• Professional growth : Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps;
• Competitive compensation : We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities;
• A selection of exciting projects : Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands;
• Flextime : Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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Executive Summary:

The Subdiscipline Manager is a first-line engineering leader responsible for team performance, technical excellence, resource planning, employee development, and the maintenance of regional engineering standards. The role combines people leadership, operational execution, technical governance, supplier management, and strategic contribution to ensure successful delivery of programs and engineering objectives.

Mission:

Subdiscipline Manager is responsible for the hierarchical management of teams and activities within the Exterior Trim area of responsibility, ensuring the delivery of all team-related outputs and deliverables.

They are also responsible for maintaining and ensuring the robustness of standards within their scope.

Key Activities:

• Lead an Exterior Trim team by defining priorities to ensure all expected deliverables and results are achieved.
• Ensure the quality and relevance of team deliverables while meeting project deadlines.
• Direct activities and/or processes to contribute to performance targets assigned to the organization across Quality, Cost, Delivery, and Performance (QCDP), including value optimization, mass reduction, and complexity reduction objectives.
• Oversee outsourced deliverables by ensuring robust input data, assessing the quality of received work, and driving continuous improvement plans.
• Anticipate staffing needs (internal and external) in alignment with project and deliverable schedules.
• Manage workload and determine the internal and outsourced resources required to support and execute programs. Manage external resources to ensure successful delivery of expected outputs.
• When applicable, maintain knowledge of key suppliers related to the team's activities and develop operational plans for utilizing those resources and competencies.
• Participate in structured problem-solving methodologies (RDP, DFSS) and maintain best practices through lessons learned and collaboration with global and regional teams.
• Define and manage team standards and verify their application across all local projects.
• Leverage competitive benchmarking activities in collaboration with the Global Technical Team when relevant to the team's activities.
• Ensure the development and continuous improvement of standards with methods and technical expert teams.
• Coach and guide the internal team, ensuring members possess the skills required to deliver all expected outputs through training, mentoring, and development activities.
• Conduct annual performance reviews, regular one-on-one discussions, and competency assessments for all team members.
• Define and monitor individual development and training plans.
• Implement and lead safety initiatives consistent with team activities, including shop-floor safety walks and audits.

Responsibilities:

• Operational and people management responsibility for the team.
• Accountable for both resources and results.
• Activities are primarily regional/local in scope.
• Technical scope may include programs, projects, production support, and engineering standards/references.
• Provides a forward-looking vision for the organization.
• Acts as the regional owner of technical standards and engineering references.

Leadership Responsibilities:

• Provides direction and guidance to team members.
• Shares strategic vision as requested by management.

Cross-Functional Leadership:

• Interface with:
  • Vehicle Program Teams
  • Purchasing
  • Manufacturing
  • Quality
  • Supplier Quality
  • Suppliers
  • Vehicle Performance organizations
• Align technical decisions with business and program objectives
• Represent the discipline during leadership review and issue escalation meetings

Launch & Quality Ownership:

• Support launch readiness activities
• Lead corrective actions for quality and warranty concerns
• Ensure Lessons learned are incorporated into future designs
• Drive achievement of program KPIs and launch deliverables

Collaboration:

• Collaborates with internal and external stakeholders.
• Contributes to strategy development with internal and external partners.
• Establishes and manages relationships with external service providers and contractors.

Basic Qualifications:

• Minimum of a Bachelor degree in Engineering
• Minimum of 10 years of Product Engineering experience, through all phases of the design development process
• English proficiency sufficient to lead meetings and conduct business discussions
• Strong technical knowledge within the team's area of responsibility

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# Machine Learning Engineer, Search RelevanceGoogle## Job DescriptionAs a Machine Learning Engineer on the Search Relevance team, you will be at the forefront of developing and deploying cutting-edge ML models that power Google Search. You'll work on challenging problems related to understanding user intent, ranking search results, and personalizing the search experience. This role involves designing, implementing, and evaluating ML systems, collaborating with researchers and product managers, and contributing to the continuous improvement of Google Search.\*\*Responsibilities:\*\*- Design, develop, and deploy large-scale machine learning models for search relevance.- Collaborate with researchers to translate novel algorithms into production systems.- Analyze model performance, identify areas for improvement, and implement optimizations.- Develop and maintain robust ML infrastructure and tooling.- Stay up-to-date with the latest advancements in ML and information retrieval.\*\*Minimum Qualifications:\*\*- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.- 3 years of experience in software development or machine learning.- Experience with Python and at least one ML framework (e.g., TensorFlow, PyTorch).\*\*Preferred Qualifications:\*\*- Master's or PhD in Computer Science, Machine Learning, or a related field.- Experience with large-scale distributed systems and data processing.- Strong understanding of information retrieval, natural language processing, or deep learning.- Experience with large-scale model training and deployment.Google offers competitive salaries, comprehensive benefits, and opportunities for professional growth in a dynamic and innovative environment.## Skills & Tagsmachine learningsearchrankingpythontensorflowpytorchinformation retrievalnlp## Job DetailsFull-timeMountain View, California$150k – $250k USDPosted July 6, 2026Expires September 4, 2026
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Amazon in United States (Washington) is seeking a Product Manager with deep Autodesk Construction Cloud (ACC) expertise to lead automation-driven BIM delivery at scale. You will own WWDE ACC configuration, onboarding, file exchange, SOPs, and cross-platform data integration, driving automation to reduce manual work and improve data quality.

The role requires cross-functional leadership, strong ACC API knowledge, and experience in BIM standards.

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Position & Office Overview

As an Engineering Branch Manager, you are the type who is driven to succeed. You are a highly motivated star player who thrives on strategic thinking and putting ideas into motion. Every project shows both your technical expertise as well as your business savvy - and this is reflected in the strong growth of your branch. The junior and senior engineering staff look to you for mentoring both technically and in building client relationships. Your positive interactions with clients as well as business development skills contribute tremendously to the success of ECS. You get the "big" picture and want to contribute accordingly - and that’s why you’ll have all the opportunity for career growth within our company you’ll want.

Responsibilities

ECS Limited is seeking an experienced engineering leader to manage our Franklin office. As the Engineering Branch Manager, you will oversee engineering projects, staff, business development, and day-to-day operations for the branch.

• Manage multidisciplinary engineering projects including geotechnical and construction materials projects.
• Assemble project teams and provide leadership throughout the full project lifecycle.
• Oversee project financials, resource allocation, schedules, and deliverables.
• Ensure quality control, safety standards, and engineering best practices are maintained.
• Perform technical review of engineering designs, drawings, plans, and specifications.
• Pursue new business opportunities through networking, proposals, and client relationships.
• Manage branch budgets, forecasts, hiring, and staff development.
• Promote company values, positive culture, and high employee engagement.

Qualifications

Required Experience & Skills:

• 10+ years of technical and managerial experience.
• Demonstrated leadership, communication, and relationship-building skills.
• Strong business acumen with P&L experience.
• Excellent project management and organizational abilities.
• Committed to safety and engineering excellence.
• Knowledge of local/regional engineering climate preferred.

Required Education & Certifications:

• BS in Civil Engineering from an ABET accredited college/university with a concentration in geotechnical engineering.

Preferred Education & Certifications:

• MS in Civil Engineering with geotechnical emphasis.
• Licensed Professional Engineer (PE) or Professional Geologist (PG) preferred; If unlicensed, ability to obtain licensure within six months of hire required.

About Us

ECS Group of Companies (ECS) was founded in 1988 with the goal to raise the standards of professional engineering consulting. Today, we are a leader in geotechnical, construction materials, environmental and facilities consulting services. We are employee-owned with more than 3,000 employees in 100+ offices and testing facilities coast to coast. ECS is currently ranked #60 in Engineering News-Record's Top 500 Design Firms (April 2026), #148 in Engineering News-Record's Top 200 Environmental Firms (October 2025) and #50 in Zweig Group's Hot Firm List (May 2025). For additional information about ECS, visit:

ECS is an Equal Opportunity Employer. To learn more, clickhere.

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You are out to reimagine and reinvent what is possible—in your career as well as the world around you.

So are we. We love taking on tough challenges, disrupting the status quo, and creating what is next. We are in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

We are 55,000 HP employees, united in creating technology that makes life better for everyone, everywhere. And we fervently believe that one powerful thought has the power to change the world. Interested in joining us? Let’s talk.

Responsibilities:

• Architects, develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.

• Applies machine learning and statistical modeling techniques to business or research problems. Defines collection protocols and analyzes data sources; develops, trains and evaluates models; creates visualizations of data properties and model performance. Deploys and maintains models. Directs technical teams in achieving these objectives.

• Ability to articulate the desired outcome, approach, tradeoffs, status and risks.

• Knowledge of business intelligence (e.g. Power BI) and development tools (Azure Dev Ops, GitHub)

• Keeps knowledge and skills current by reading state of the art research papers and blog posts from industry and research labs. Studies new methods to understanding industry trends and emerging technologies. Disseminates this knowledge within teams and across teams.

• Fluent in one or more Machine Learning Frameworks (e.g. Pytorch, TensorFlow, scikit-learn, etc). Fluent in Python and knowledge of one or more additional Programming Languages, such as C++, R, C#.

• Knowledge of modern computer science including algorithms, data structures, software architecture. Where applicable, knowledge of cloud and hybrid cloud service architectures and their impacts on development and deployment. Able to architect new solutions that combine services, data preparation and preprocessing, machine learning models and data presentation.

• Knowledge of the Mathematics of Machine Learning (particularly Linear Algebra, differential calculus) and Statistics.

• Deep understanding of current machine learning algorithms, under which circumstances each is applicable and their pros and cons. Able to compose new model architectures and objective functions.

• Knowledge of data processing/experiment techniques and data preprocessing requirements for the common machine learning approaches. Knowledge of data collection techniques. Knowledge of data augmentation approaches and their pros and cons.

Scope & Impact:

• Works with tech leads and product and program managers to understand the business problem.

• Works with software engineers to understand systems and craft interfaces to model for deployment.

• Interacts with teams collecting data to assist in defining collection protocols and assure data quality.

• Codes, trains, validates and optimizes machine learning models, possibly utilizing new model architectures, optimization techniques or objective functions.

Education and Experience:

• Masters Degree in Computer Science, Statistics, and/or Math or equivalent, demonstrated through work experience, journal and/or conference publications or open-source projects.

• 3-5 years experience.

HP offers a comprehensive benefits package, including:

• Dental insurance

• Disability insurance

• Employee assistance program

• Flexible schedule

• Flexible spending account

• Health insurance

• Life insurance

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $ – $ annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

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Job Description

Shield AI is seeking a Staff Aerostructures Design Engineer to support the development of structural components for our next-generation autonomous aircraft. As a key contributor on the Mechanical Engineering team, you will design and develop high-performance structural components from concept through production release.

You’ll work cross-functionally to ensure structural integrity, manufacturability, and system integration across one of the most advanced autonomous aircraft platforms being built today. This role is ideal for an aerospace mechanical engineer who thrives in hands‑on design environments and is eager to take increasing ownership of flight‑critical designs.

What you’ll do

• Design and develop structural components and assemblies for Shield AI’s next‑generation UAV platform, supporting both primary and secondary aircraft structures.
• Execute all stages of the design lifecycle including conceptual development, initial CAD modeling, detailed design, and drawing release.
• Perform hand calculations for stress or strain with limited basic FEA analysis, with guidance from senior engineers as needed.
• Collaborate closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to support system integration across airframe interfaces.
• Support structural validation efforts including coupon testing, subcomponent testing, and system‑level verification.
• Generate high‑quality design documentation, drawings, interface definitions, and analysis reports in compliance with aerospace standards.
• Partner with manufacturing and flight test teams to resolve build issues and support hardware through test and deployment.
• Participate in design reviews and technical discussions, presenting work clearly and incorporating feedback effectively.
• Continuously improve personal technical depth in structural layout, joints, fasteners, tolerancing, and structural optimization.

Required qualifications

• Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, or related discipline.
• 8+ years of experience in aircraft structural design or closely related aerospace structures.
• Experience designing and releasing structural components in development or production environments.
• Working knowledge of composite and metallic structures, including fasteners, bonded joints, and load paths.
• Proficiency in CAD tools (NX, CATIA, SolidWorks, or similar).
• Understanding of GD&T, tolerance stackups, and DFMA principles.
• Strong written and verbal technical communication skills.
• Demonstrated ability to operate in fast‑paced, high‑ownership engineering environments.
• Ability to get a S//SAR level security clearance desired.

Preferred qualifications

• M.S. degree in Aerospace or Mechanical Engineering.
• Experience supporting UAV, DoD, or aerospace vehicle programs.
• Familiarity with aerospace standards (MIL‑STD, ASME Y14.5, FAA).
• Experience supporting hardware through test, failure analysis, and design iteration.
• Exposure to composite design and manufacturing methods.
• Experience using FEA tools (ANSYS, Abaqus, NASTRAN, or similar) for linear structural analysis.

Full‑time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity.

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment).

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part‑time employees are not eligible for benefits.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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Base Pay Range

$60,000.00/yr - $90,000.00/yr

Position

GIS Analyst, Junior - FAA

Function

Data Science

Location

Remote Site/Cobec Site - DC (Required to come in‑person for client and/or integrator meetings and collaboration as needed)

Remote Work Option

Yes

Salary Range

$60,000 - $90,000

Security Requirements

Must be a U.S. citizen or a legal resident for three of the past five years. Public Trust cannot be granted without meeting the residency requirement.
Must meet eligibility requirements for a U.S. Public Trust security clearance (moderate risk), including a soft credit check and criminal background check. Please refer to the criteria listed in 5 CFR 731.202 to understand the Public Trust suitability requirements.

Culture

Cobec is consistently breaking the current mold for delivering services to our government clients. What does that mean? That means believing in a people first mentality, building high performance teams and empowering people to make informed decisions without going through a large bureaucratic system. Cobec values the well‑being of employees and bestows tremendous trust in those people to negotiate work and non‑work obligations. Cobec is where someone can bring their whole self to work and be themselves, never having to compromise their authenticity just to fit in. Lastly, we believe in the work we do, the goals and missions of our customers and the interpersonal relationships we have with clients, stakeholders and our people.

Values and Expectations

The successful candidate for this role embodies the same values as Cobec. We realize experience is important, however; Cobec believes a person’s abilities and skills that align with our values (Relationships, Leadership, Passion, Accountability, Integrity, Innovation, Quality, Teamwork, Diversity, Commitment, & Respect) are the most important drivers for success in this role.

Job Summary

This position will support the creation and management of geospatial solutions for aviation‑related projects using the ESRI ArcGIS platform. The candidate will help build and configure ArcGIS Online applications - such as Experience Builder, Dashboards, Field Maps, Survey123, and QuickCapture. This role includes preparing and integrating geospatial datasets, performing basic analysis, and helping to present results through web maps, dashboards, and other visualization tools.

Years of Relevant Experience

The position requires 1 - 3 equivalent years of experience in Geographical Information Systems, operations research, modeling and simulation, or technical analysis. Specific experience with the Federal Aviation Administration (FAA) or the Aviation Industry is desired.

Essential Job Functions

• Assist with creating and configuring ArcGIS Online Applications, including Workforce, Survey123, Field Maps, and QuickCapture
• Support the design and update of Survey123 forms for field data collection
• Collect, clean, and organize geospatial and tabular data for mapping and simple analyses
• Maintain and update geospatial datasets to ensure accuracy and consistency across projects
• Produce maps, graphics, and dashboards to communicate project findings and support decision making
• Perform basic spatial analysis using ArcGIS Pro
• Document methods and results and communicate findings clearly to project teams and stakeholders

Education Requirements

Bachelor’s degree required, preferably in Geospatial Science, Computer Science, Geography, Urban Development, Data Science, or similar. Master’s degree is a plus.

Skills Requirements

• Experience configuring ArcGIS field applications (Field Maps, Survey123, QuickCapture)
• Experience with ArcGIS Pro is required
• Experience with ArcGIS Experience Builder and/or Dashboards is desired
• Familiarity with basic spatial analysis techniques in ArcGIS is desired
• Experience with data management and quality control of geospatial datasets is desired
• Familiarity with relational databases or SQL is desired
• Experience with Python or other scripting tools is a plus
• Strong attention to detail and ability to communicate technical information is required

Travel

Occasional travel required as needed by client/s and/or company.

EEO

Cobec, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, veteran status or any other status protected by federal, state and local law.

Seniority Level

Entry level

Employment Type

Full‑time

Job Function

Information Technology

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Director, Customer Quality Engineering

Location: US

The Director, Customer Quality Engineering will be responsible for managing & leading the Customer Quality Engineering group to ensure customer satisfaction. This individual will be the DRI (Direct Responsible Individual) for Customer Quality Representatives. This individual will lead the Customer Quality Engineering team to resolve customer quality issues and be the voice of the customer within pSemi.

Roles & Responsibilities

• Set the strategy and performance standards for the Customer Quality Engineering function to deliver customer satisfaction and business continuity.
• Lead, develop, and coach a team of Customer Quality Engineers; build a scalable organization with clear roles, succession plans, and a culture of accountability and continuous improvement.
• Serve as the customer quality interface; build trusted relationships with customer quality leadership and internal executives to align priorities, risks, and commitments.
• Own the end-to-end customer complaint and corrective action system (RMA/CAR/8D), ensuring cross-functional root-cause, containment, corrective/preventive actions, and timely, high-quality customer communication; negotiate resolution plans, timelines, and messaging as needed.
• Lead customer quality reviews and executive escalations, including failure analysis readouts, 8D status, and readiness for new product introduction/qualification; ensure risks are assessed, mitigations funded, and decisions documented.
• Own external-facing quality and reliability positions (e.g., quality FAQs, reliability statements, and standard responses); negotiate quality/reliability requirements and protect confidential information in all customer communications.
• Direct customer audits at pSemi and key supply‑chain partners (foundries/OSATs), ensuring audit readiness, aligned messaging, effective hosting, and closure of all findings/actions on agreed timelines.
• Provide guidance for customer-impacting changes, including PCNs and customer notifications; represent Customer Quality on PCRB/MRB to assess risk, align disposition, and ensure robust communication and documentation.
• Establish and track customer quality KPIs (e.g., complaint cycle time, escapes, audit outcomes, and customer satisfaction), drive continuous improvement initiatives, and regularly brief senior leadership on trends, risks, and resource needs.

Minimum Qualifications (Experience and Skills)

• 10+ years of customer quality engineering or Product Engineering with extensive customer interface experience
• Experience with IC wafer process manufacturing and development
• Experience with Quality Management Systems & ISO-9001 (also IATF-16949 preferred)
• Experience with 8D problem solving methodology
• 4+ years of managing a team of engineers
• Experience in dealing with complex semiconductor customer base and various supplier bases
• Experience in managing high-volume consumer electronics and semiconductors
• Strong skills using MS Office software tools, data analytical tools
• Strong leadership skills
• Excellent written and oral communication skills, interpersonal and problem-solving skills
• Ability to work well with all levels of internal management and staff, as well as external customers
• Capable of prioritizing and managing multiple projects, and meeting established deadlines in a fast‑paced environment
• Sense of urgency to meet customer requirements and ability to clearly assess and manage risk
• Willingness to travel domestically and internationally when necessary

Education Requirements

• BS in Electrical Engineering or related engineering field

Work Environment

• This job operates in a professional office environment. This role routinely uses standard office equipment.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.

USD 179,310.44 - 246,551.86 per year

pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver's license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including “protected veterans” under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.

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Company: Sasol

Location: Lake Charles, United States

Purpose of Job

Previous management training or experience, particularly in supervision or interpersonal skills management.

Formal Education

• University Bachelor Degree in Engineering, Business or related fields

Working Experience

• 5+ years industrial experience in Chemical Process

Required Personal/Professional Skills

• Must have capability to handle a large work volume and develop a wide breadth of knowledge to operate effectively in all areas of responsibility
• Knowledge of management systems, SHE Processes and Procedures, and PSM; effective oral and written communication and interpersonal skills
• Management style must include values-driven leadership, culturally sensitive, business acumen, team-focused, networking and relationship building ability, and a balance of conceptual and practical skills
• Some travel may be required

Sasol (USA) Corporation is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to race, color, religion, creed, age, sex, sexual orientation, gender identity, pregnancy, national origin, disability or protected veteran status, as well as any other characteristic protected by applicable law, regulation or local ordinance. For more information about your rights under the law, see

Sasol treats work-authorized job applicants equally in recruiting and hiring without regard to their citizenship status or national origin unless required by law, regulation, executive order, government contract, or determination by the Attorney General. Please note Sasol will not sponsor, obtain, or petition for temporary visa status (for example, E, F-1, H-1, H-2, L, B, J, or TN) for candidates for this position and/or personnel hired for this position.

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Location

Mountain View

Employment Type

Full time

Location Type

On-site

Department

Research

About Creatify

Creatify is building the world’s first end-to-end AI advertising agent—a platform that automates the entire video ad lifecycle, from scripting and avatar-led generation to testing, optimization, and publishing across Meta, TikTok, YouTube, and more.

In just 18 months, we’ve surpassed $10 million in ARR, serving over 1.5 million users across 10,000+ teams. Leading brands—including Alibaba, HubSpot, Binance, NewsBreak, and Zumper—use Creatify to produce personalized, high-performing video ads in minutes.

We have raised $23M in funding from leading Silicon Valley firms including WndrCo, Kindred Ventures, Millennium New Horizons, NFDG, Creator Ventures, Leadout Capital, Hat Trick Capital, and many more. Check out our latest coverage by Fast Company, TechCrunch, Bloomberg TV, and our recognition as one of IVP Enterprise AI 55 in 2024.

Based in Mountain View, we are a team of passionate AI researchers, engineers, and advertising veterans. Join us in reinventing the advertising industry with AI.

About this role

We’re hiring a Machine Learning Engineer to design and scale advanced models and systems for prediction, recommendation, and generative AI. In this role, you’ll work on large-scale applied ML problems, build state-of-the-art solutions, and mentor junior engineers while occasionally leading projects.

This is a full-time, in-person position based in Mountain View, CA.

Responsibilities

• Research, design, develop, and test operating-systems–level software, compilers, and network distribution software for massive social data and prediction problems.

• Bring extensive industry experience across ranking, classification, recommendation, and optimization problems (e.g., payment fraud, CTR/CVR prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, spam detection), or expertise in modern generative and foundation model approaches (e.g., LLMs, transformers, diffusion models).

• Tackle large-scope problems; develop highly scalable systems, algorithms, and tools leveraging deep learning, data regression, and rules-based models.

• Suggest, collect, analyze, and synthesize requirements and identify bottlenecks across technology, systems, and tools.

• Build solutions that iterate quickly, efficiently leverage orders of magnitude more data, and explore state-of-the-art deep learning techniques.

• Demonstrate strong engineering craft and operate with minimal guidance while mentoring junior engineers.

• Apply advanced ML methods to fully exploit modern parallel environments (e.g., distributed clusters, and GPU).

• Lead small teams or projects where necessary, providing technical guidance, code reviews, and architectural direction.

Qualifications

• Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or a related field.

• 4+ years of industry experience in software engineering or applied machine learning roles (E5+ or equivalent).

• Proven track record of delivering large-scale systems and solving complex applied ML problems in production.

• Prior experience in a tech lead (TL) capacity, such as driving technical direction, mentoring teammates, or coordinating cross-functional projects.

We are an equal opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Elan Partners seeks a Senior Electronic Design Engineer to join its embedded systems division and drive hardware design from concept to production. You will contribute to sophisticated embedded products across the lifecycle, collaborating with firmware, software, mechanical, and manufacturing teams.

The ideal candidate brings 5+ years of experience in embedded hardware, strong PCB design and signal integrity skills, and a hands-on approach to develop high-performance electronics for demanding

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Inworld is the leading AI engine for games, enabling developers to build groundbreaking game mechanics, dynamic NPCs and worlds that evolve with each action. Inworld powers experiences built by Niantic, NetEase Games and LG, among others, and has partnerships with key industry players such as Microsoft/Xbox, Epic Games and Unity.

We are seeking Staff and Principal level Machine Learning Engineers with extensive experience in Natural Language Processing (NLP). You will be at the forefront of building generative AI products that utilize Large Language Models (LLMs) to create next-generation AI characters.

Qualifications

• BA/BS degree or higher in Computer Science, Engineering, or a similar technical field.
• 6 years of experience with software development in one or more programming languages
• 4 years of experience with applying machine learning algorithms in natural language processing domains.
• 1+ years of experience training LLMs (6B parameters and larger) such as NeoX, LLaMA, PaLM, etc. is considered a big plus.
• Deep knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX.

Responsibilities

• Explore and experiment with cutting edge ML techniques for applied NLP.
• Develop and test production-grade scalable generative machine learning models.

In-office location: Mountain View, CA, United States.

Remote location: United States.

The US base salary range for this full-time position is $240,000 - $385,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.

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