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Cohesity is seeking a Sales Engineering Manager in Sacramento, California to lead a team of Sales Engineers. The role focuses on hands-on coaching, supporting pre-sales execution, and assisting on complex customer opportunities.

Ideal candidates will have experience in SLED environments, strong technical knowledge in data protection, and excellent communication skills. The position offers competitive pay ranging from $237,600 to $264,000.

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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Our team is a diverse and collaborative group of software engineers, machine learning engineers, and data scientists. We develop industry-leading simulation solutions using advanced machine learning algorithms that measure and enhance the performance of the Waymo Driver. By applying machine learning, we model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions.

To increase the fidelity and steerability of our simulations, we employ the latest ML technologies such as large foundational world models trained on our datasets, world understanding and reasoning capabilities for tail cases, and reinforcement learning for long-term credit assignment. We also invest in capable infrastructure that allows us to quickly set up and roll out multiple counterfactual scenarios to rigorously test our autonomous driving systems.

In this hybrid role, you will report to a Senior Staff Tech Lead Manager.

You Will

• Drive innovation in ultra-realistic world simulation for autonomous vehicles, developing the latest simulation technologies using foundation models for embodied agents.
• Apply your deep ML expertise in Generative AI to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
• Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.

You Have

• 5+ years of experience with ML software engineering.
• 5+ years of experience with Python.
• 5+ years of ML software experience with machine learning frameworks including PyTorch, TensorFlow, Jax/Flax.

We Prefer

• Experience working with, creating, and/or developing ML models for robotics and/or self-driving vehicles.
• Strong C++ in a production setting, with experience integrating ML models into production systems.
• Experience training large-scale models on GPU/TPU clusters, strongly preferred.

The expected base salary range for this full-time position across U.S. locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location, or, if the role can be performed remotely, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$213,000 - $263,000 USD

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Would you like to work on a new IP and new genre at teamLFG that combines amazing action feel with lighthearted and whimsical characters? Are you on a mission to create games that bond players together into deeply invested communities?

As an Engineering Director at teamLFG, you will hire, build and direct a technology organization to deliver amazing never‑seen‑before game experiences. Your organization will build and utilize a wide range of technologies and workflows to develop, continuously deliver, and maintain a live production game service. As part of the project and studio leadership team, you will create and evolve a technology strategy that is aligned with project goals and initiatives and serves the needs of the game, its players, and employees. As part of a diverse company that prizes creativity and technical excellence, your servant leadership will inspire and motivate a cross‑discipline team to help build a new franchise beloved by millions.

We look for candidates who value joining a mission‑focused team with a diverse set of backgrounds, experiences, interests, and viewpoints.

Responsibilities

• Collaborate with a cross‑disciplinary project leadership team to develop and maintain a product technology strategy that is informed by product vision, technical costs, and long‑term technology goals
• Leveraging the Unreal Engine and technology the team has built, direct the engineering organization to tackle challenging problems, find combinations of innovative technology with proven models, and build reliable solutions that deliver game experiences while sensibly managing technology risks
• Recruit, nurture, and retain an engineering organization (30+ engineers, both internal FTE and external codev) with the skills, capacity, and adaptability to navigate uncertainty and deliver on the changing needs of the project
• Manage multiple senior engineering leads, providing management support, technical guidance, constructive feedback, and career development coaching
• Work with production leadership to schedule, track, deliver, and close out game features and releases, anticipating and mitigating any critical risks encountered, technical or otherwise
• Communicate with PlayStation executives, directors, and technology teams, as needed

Required Skills

• Experience managing an organization of 20+ engineers on AAA game engineering teams
• Experience working with and directing co‑development engineering teams
• Experience with developing and running online games in a live service environment
• Ability to align with leadership and executive stakeholders, translate goals into strategic technology solutions with a thorough understanding of cost, efficiency, and quality tradeoffs, and then lead an organization to execute on a technology strategy
• Effectively communicate with and inspire fellow engineers by driving team alignment and buy‑in on technology vision and architectural principles
• Ability to work with a team in a hybrid environment, leveraging real time chat communications and documentation across an entire game studio
• Ability to communicate with stakeholders of different business, technical, and non‑technical backgrounds, to help align objectives and negotiate common goals

Nice to Have Skills

• Experience with development using the Unreal Engine
• Experience with development on a variety of platforms (PC, console)
• Experience with agile development methodologies

Benefits

• Medical, dental, vision coverage
• Matching 401(k) retirement savings plan
• Paid time off and wellness program
• Employee discounts on Sony products
• Eligible for bonus package

This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below.

$255,000 — $383,000 USD

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Delek US is seeking a Senior Director, Technical Excellence, based in Brentwood, TN. This leadership role focuses on driving improvements in safety, reliability, and operational performance across the refining network.

The successful candidate will oversee a technical organization, set strategic priorities, and ensure technical standards are consistently applied. Responsibilities include developing action plans to resolve performance gaps and collaborating with refinery teams to achieve sustained results.

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Who We Are

Atoms is building the machines that power the next era of progress.

Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real‑world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information but the physical systems that shape everyday life. If you want to work on hard problems with real‑world impact, join us.

What You’ll Do

As a Machine Learning Engineer at Atoms, you'll be an integral part of building out the state‑of‑the‑art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:

• Leverage cutting‑edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low‑maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative teamwork: work closely with a team to enhance and support technology.
• Innovation: Drive innovation within the team and support CSS’ technological advancements.

What We’re Looking For

• Bachelor’s degree required.
• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience.
• Deep knowledge and experience with at least one ML model: LLMs, GNN, deep learning, logistic regression, gradient boosting trees, etc.
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc.
• High energy rapid software development, iterating and pivoting quickly.
• Strong ability to design and create long‑lasting architecture from scratch and evolve existing systems.
• Proficient in Python; familiarity with Java/Go.
• Experience with data analysis and visualization.
• Strong communication and presentation skills.

Why join us

At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow.

What Else You Need To Know

This role is based in our Mountain View office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. That’s why all of our office‑based teams work onsite, five days a week.

Compensation

The base salary range for this role is $175,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance‑based bonus.

Benefits Summary (USA Full‑Time Exempt Employees)

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company‑paid life and disability insurance (short- and long‑term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA).
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter).
• Time Off policies:
  • Discretionary vacation days
  • 8 paid holidays per year
  • Paid sick time
  • Paid Bereavement leave
  • Paid Parental Leave

Benefits are subject to change at the company’s discretion.

Ready to join us as we serve those who serve others?

Ready to apply?

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WHERE YOU'LL HAVE AN IMPACT

Our team is seeking a talented Software Engineer to propel our ambitious research forward. We're not just another team; we're a dynamic blend of Applied Scientists, Machine Learning Engineers, and Software Engineers united together to apply state of the art research to the road. From pioneering advancements in Offline Reinforcement Learning (RL) and Reward Learning from Human Feedback (RLHF) to developing groundbreaking, large-scale, embodied Foundation Models, our projects are designed to dramatically enhance our product's capabilities. But it's not just about what we do—it's how we do it. We believe in the power of cross-functional collaboration, rigor in engineering, and a relentless pursuit to innovate.

Challenges you will own

• Collaborate with Applied Scientists and Machine Learning Engineers on advanced, multimodal, embodied Foundation Models, enhancing your Machine Learning Engineering (MLE) skills.
• Develop and manage comprehensive datasets and data engineering pipelines, supporting complex research initiatives.
• Craft and refine tools for rapid exploration and detailed visualizations, pushing the boundaries of research efficiency.
• Drive observability, monitoring, and performance optimizations to elevate system reliability and performance.
• Create tools specifically designed to expedite solving research problems, showcasing your problem-solving capabilities.
• Work seamlessly with platform teams, facilitating integration and leveraging shared resources for broader impact.

WHAT YOU'LL BRING TO WAYVE

You’d be a great match for this role if:

• You champion engineering best practices, ensuring solutions are scalable, efficient, and maintainable. You prioritize code quality, readability, and reusability, understanding that these qualities are key to long-term success.
• You excel in ambiguous, fast-paced environments, adept at navigating and thriving amidst change.
• You have experience with MLOps or ML Infrastructure, reflecting your ability to streamline machine learning workflows.

Essentials

• 2+ years of experience with a BS or MS in Computer Science, Engineering, or related discipline, or equivalent experience.
• Solid experience with Python or proficiency in a systems/backend programming language with the ability to quickly adapt to Python.
• Demonstrated experience in system design, capable of architecting robust, scalable solutions.
• Proven track record of working in teams to successfully deliver open-ended projects.
• Ability to work cross-functionally, bridging gaps between teams to drive collective goals.

WHAT WE OFFER YOU

• Attractive compensation with salary and equity
• Immersion in a team of world‑class researchers, engineers and entrepreneurs
• A unique position to shape the future of autonomous driving and to tackle the biggest challenge of our time
• Bespoke learning and development opportunities
• Relocation support with visa sponsorship
• Flexible working hours - we trust you to do your job well, at times that suit you and your team
• Private on‑site chef, in‑house bar, lots of socials, and more!

Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don’t just embrace diversity but nurture it - so that we all thrive and grow.

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The Operational Excellence IE Director leads global Industrial Engineering initiatives, partnering with site-level IE leaders to drive manufacturing excellence, efficiency, and effectiveness through the implementation of best practices and systems. This role is responsible for identifying bottlenecks across multiple fabs and driving OEE improvements to enhance productivity, cycle time, and on-time delivery. Additionally, the Director focuses on establishing standardized analytical models across the organization for planning, KPI tracking, and WIP management.

This Job Is For You If:

• You can manage the corporate IE directors' forum
• You can manage and lead cross function global projects, from planning through implementation, for OEE improvement, budget control and savings, improved WIP management, improved ergonomic and better operator efficiency, CAPEX management, etc
• You can set global procedures for better operational management and monitor the compliance
• You can lead corporate capacity management programs
• You can drive manufacturing excellence through benchmark study
• You are uncompromisingly passionate about solving complex problems using methods and data
• You are curious and strive for excellence in everything that you do
• You have the experience to lead global cross functional teams in a dynamic and changing environment

Job Requirements

• B.S Industrial Engineering or Systems Engineering degree required but Master's degree preferred
• Industrial engineering expert, extensive experience in semiconductor environment
• Wide experience in manufacturing and operations management techniques required
• Experience in optimization, tool modeling and performance metrics preferred
• Ability to communicate with external and internal multi-cultural stakeholders
• Knowledge of Manufacturing Science (scheduling/dispatching, TOC, Lean, Push/Pull system, inventory management, capacity planning, etc.)
• High analytical skills and data driven
• Strong understanding of statistics, data analysis and problem-solving methodologies
• Ability to attend to details while keeping big picture in mind

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AIT is the world's largest provider of automation, factory integration and tooling solutions dedicated to the global aerospace, defense, and space launch vehicle industries.

AIT offers a competitive compensation package (including free medical options for employees and their family), casual work environment and excellent growth opportunities.

Summary

We’re seeking a senior technical leader to own the controls system design for complex automated manufacturing systems. This role leads electrical and software engineering teams and defines scalable, executable control architectures from concept through customer acceptance.

You’ll serve as the technical authority for controls design , partnering with customers, project management, and controls build groups to ensure solutions meet performance, quality, and schedule expectations.

Key Responsibilities

• Lead all electrical and software design activities across automation programs
• Define and maintain standard controls architectures, platforms, and coding practices
• Own controls design quality, technical risk, and compliance to customer and industry standards
• Serve as the controls design leader for engagement with customer engineering teams
• Guide complex technical decisions and resolve high-risk design issues
• Support estimating, concept development, and new technology integration
• Develop and mentor electrical and software engineering leaders and senior engineers

Requirements

• Bachelor’s degree in Software, Electrical, Computer, or Mechanical Engineering (or equivalent experience)
• Six years programming in C/C++/C# for Windows
• Six years programming industrial PLC environments, Siemens is preferred
• Proven leadership experience in multi-project engineering environments
• Ability to balance technical excellence with schedule, cost, and execution realities

Work Authorization/Security Clearance Requirements

• This position may require a government security clearance.

Work Conditions

• Indoor, Office environment. Temperature controlled.

Exposure Types

• No adverse environmental conditions expected.

Work Hours

• Standard work schedule, overtime may be necessary for meeting deadlines, required travel, emergent conditions.

Travel Requirements

• This position can involve travel up to 50% of the time.

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.

• Light work that includes moving objects up to 20 pounds.
• Picking, pinching, typing or otherwise working, primarily with fingers rather than with whole hand or arm as in handling.
• Prolonged periods sitting at a desk and working on a computer.

AIT Safety

AIT enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe work environment. As appropriate, each employee is responsible for completing all training requirements. All employees that work in or enter the production environment are required to wear personal protective equipment.

AIT Quality

It is our policy to provide quality products and services that meet customer expectations and delivery requirements. Accordingly, each employee must conform to the AIT Quality Policy and carry out job activities in compliance with applicable AIT Quality System documents and customer contracts. Each employee must read and understand his/her Quality Management and Customer Satisfaction responsibilities.

AIT Procedure Compliance

Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to his/her job.

Security Clearance Statement

This position may require a government security clearance; you must be a US Citizen (non-dual citizen) for consideration.

ITAR Requirements

To conform to U.S. Government commercial space technology export regulations, including the International Traffic in Arms Regulations (ITAR), 8 U.S.C. § 1324b(a)(3), applicants for employment at AIT must be a U.S. citizen or national, lawfully admitted for permanent residence into the U.S. (i.e. current green card holder), or lawfully admitted as a refugee or granted asylum under 8 U.S.C. § .

Equal Employment Opportunity

AIT is proud to be an Equal Opportunity Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. AIT hires and promotes people based on their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that nurtures trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law.

Affirmative Action and Disability Accommodation

Applicants wishing to view a copy of AIT’ s Affiantive Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at

AIT is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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A leading technology solutions provider is seeking a Senior Sales Engineer to provide pre-sales support to sales teams and prospective customers. The role requires at least 2+ years of experience in a relevant position and a strong understanding of digital marketing and analytics. Candidates should possess excellent communication and organizational skills, with a capacity to multitask effectively. This position offers opportunities for training and product testing involvement.
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Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life.

About You

• You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
• INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
• You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
• You care deeply for your customers and are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
• Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
• You thrive in a Team Environment. Collaboration is key in innovation and creating change.

If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.

Director of AI Engineering

Lantern is looking for a Director of AI Engineering to lead the strategy, development, and delivery of AI and machine learning capabilities across the organization. This is a senior leadership role responsible for building and scaling a high-performing AI engineering team, setting the technical vision for ML/LLM systems, and ensuring that AI initiatives are tightly aligned with Lantern’s product strategy, care workflows, and business objectives. You will report to the VP of Engineering and work closely with executive leadership to shape how AI transforms care delivery and operations at Lantern.

Location

Hybrid - at least 3 days/week in one of our offices: Dallas, TX / Vancouver, BC Canada / Chicago/Evanston / New York / Washington, DC

Responsibilities

• Define and execute the AI engineering strategy and technical roadmap, ensuring alignment with Lantern’s product, clinical, and business priorities.
• Build, lead, and scale a high‑performing AI engineering team, including hiring, mentoring, performance management, and creating a culture of technical excellence and innovation.
• Drive rapid AI proof‑of‑concept development, moving from problem identification to working prototypes on aggressive timelines, and shepherding successful POCs into production‑grade systems.
• Own the end‑to‑end lifecycle of ML/LLM systems—from research and experimentation through production deployment, monitoring, and continuous improvement.
• Establish and maintain best‑in‑class MLOps practices: experiment tracking, reproducibility, CI/CD for models, automated testing, drift detection, observability, and scalable infrastructure on Azure.
• Partner with product, clinical operations, marketing, data, and engineering leadership to identify high‑impact AI opportunities and translate them into well‑scoped, executable initiatives.
• Lead architecture decisions for ML/LLM systems, ensuring scalability, reliability, security, and compliance with healthcare regulations.
• Establish clear KPIs and success metrics for the AI engineering function, including model performance, delivery velocity, team health, and business impact.
• Champion responsible AI practices across the organization, including fairness, transparency, explainability, and regulatory compliance in healthcare contexts.
• Represent the AI engineering function to executive leadership, providing regular updates on progress, risks, and strategic recommendations.
• Build external visibility for Lantern’s AI capabilities through thought leadership, community engagement, and talent brand building.

Experience & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience; Master’s preferred.
• 10+ years of experience in software engineering or machine learning, with at least 4 years in a leadership role managing ML/AI teams.
• Proven track record of building and shipping production ML/LLM systems at scale, including end‑to‑end ownership from research through deployment.
• Deep technical expertise in ML frameworks (PyTorch, TensorFlow, scikit‑learn), LLM technologies (prompt engineering, RAG, embeddings, fine‑tuning, agents), and modern MLOps practices.
• Strong experience with cloud‑native ML infrastructure on Azure, including Azure ML, Databricks, and Azure DevOps pipelines.
• Demonstrated ability to rapidly prototype AI solutions and drive them to production on aggressive timelines.
• Experience with big data ecosystems (Spark, Databricks, Delta Lake) and streaming technologies.
• Excellent leadership skills: hiring and developing high‑performing teams, managing cross‑functional relationships, and influencing at the executive level.
• Strong strategic thinking with the ability to balance long‑term vision with near‑term execution and business impact.
• Experience operating in regulated environments, ideally healthcare, with an understanding of compliance, data governance, and responsible AI principles.
• Outstanding communication skills with the ability to translate complex technical concepts for non‑technical stakeholders and executive audiences.

Strong Candidates Will Have

• Experience applying AI/ML capabilities in healthcare, health tech, or other regulated industries.
• Background working with clinical data, claims data, or healthcare operational workflows.
• Experience building and scaling AI teams from the ground up, including defining team structure, processes, and culture.
• Track record of delivering AI‑powered products that drove measurable business outcomes.
• Experience with LLM agents, agentic workflows, tool‑use orchestration, or multi‑step reasoning systems.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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A global engineering firm is seeking a Director of Sustaining Engineering to oversee maintenance of product lines and execution of sold work orders. The ideal candidate has over 10 years of engineering experience and a strong background in cross-functional team leadership. This full-time role is located in Green Bay, Wisconsin, offering a dynamic work environment focused on innovation and collaboration.
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Babel Street is seeking a Senior Director of Generative & Agentic AI to lead AI strategy across the platform. You will collaborate closely with leadership and oversee teams in building multi-modal AI systems.

This hybrid position allows you to work from Somerville, MA or Reston, VA. You'll be responsible for executing AI strategy to support critical intelligence applications while ensuring capabilities are reliable, safe, and effective.

Minimum qualifications include over 10 years in AI/ML and a strong academic background in a related technical field.

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A leading engineering services provider is seeking an RF Engineer with DAS experience in Dallas, Texas. The ideal candidate will have over 3 years of relevant experience and should be certified in IB-Wave. Responsibilities include working on RF design and in-building projects. A background in Automated RF test tools and knowledge of Fiber Optic Cable will be beneficial for success in this role. Join this innovative team to contribute to telecommunications solutions.
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Overview

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver.

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack.

Responsibilities

• Drive innovation in ultra-realistic world simulation for autonomous vehicles. You will develop the latest simulation technologies using foundation models for embodied agents.
• Apply your deep Machine Learning (ML) expertise, in Generative AI (GenAI), to push the boundaries of simulation realism and directly influence the advancement of autonomous driving technology.
• Work with Waymo's foundational AI research team to transfer research into scalable and production-ready solutions.

Qualifications

• 3+ years of experience with ML software engineering
• 3+ years of experience with Python
• 3+ years of ML software experience with machine learning framework including PyTorch, TensorFlow, Jax/Flax

Preferred qualifications

• Experience working with, creating and/or developing ML models for robotics and/or self driving vehicles
• Strong C++ in production setting, with experience in integrating ML models in production systems
• Experience in training large scale models on GPU/TPU clusters are strongly preferred

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Compensation and benefits

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range

$170,000—$216,000 USD

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Overview

MSR Communities is an international real estate and homebuilding company with over 8 years in construction and development since our founding. We have built a strong reputation for quality and craftsmanship in residential construction , particularly in luxury properties.

We operate as a fully integrated General Contractor (GC) , managing projects from planning through execution to deliver high-end homes that meet modern lifestyle needs. In addition to our Washington State presence, we are expanding our construction operations into Texas , bringing our expertise to new markets.

Over the years, MSR Communities has delivered multiple residential projects ( , including:

Townhomes – thoughtfully designed with quality materials and modern layouts.

Single-Family Homes – custom and luxury single-family residences with premium finishes.

Apartment and Mixed-Use Concepts ( – integrating community-centric design elements (in selected developments).

We are proud of our growth, craftsmanship, and commitment to excellence. Recently, MSR was recognized as one of the fastest-growing privately held homebuilding companies in Washington State.

Role Overview

The Senior Civil Engineer (PE) provides technical leadership and professional oversight for all civil engineering aspects of MSRCommunities land development and construction projects. This role supports projects from acquisition and feasibility through entitlement, design, construction, and close-out, ensuring regulatory compliance, cost control, and schedule alignment.

Key Responsibilities

• Serve as Engineer of Record , providing stamped civil plans, calculations, and technical approvals.
• Lead civil site design for grading, drainage, stormwater, utilities, roadways, and erosion control.
• Direct due diligence and feasibility evaluations including surveys, geotechnical, environmental, and utility reviews.
• Manage entitlement and permitting processes with local, county, and state agencies.
• Provide technical leadership to internal teams, junior engineers, and external consultants.
• Review and approve consultant deliverables, contractor submittals, RFIs, and change orders.
• Support project budgeting, value engineering, and infrastructure cost analysis .
• Conduct site visits and provide construction-phase engineering support .
• Ensure compliance with zoning, land-use regulations, stormwater requirements, ADA standards, and environmental codes.
• Identify and mitigate engineering, permitting, and constructability risks.
• Collaborate with development, construction, finance, and executive leadership teams.
• Promote sustainable and low-impact development (LID) practices.

Qualifications

• Bachelorrs degree in Civil Engineering.
• Active Professional Engineer (PE) license (Washington preferred).
• 8+ years of experience in land development, residential, or mixed-use projects.
• Proven experience working with developers, municipalities, and regulatory agencies.
• Proficiency in AutoCAD Civil 3D and relevant engineering software.

Core Competencies

• Technical leadership & professional judgment

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A national engineering firm is seeking a Mechanical Engineering Manager - Healthcare in St. Louis, MO. You will lead the engineering team, managing healthcare projects from design to delivery. The ideal candidate has over 10 years of experience in mechanical design, a Bachelor's degree in Mechanical Engineering, and a PE license. Responsibilities include overseeing mechanical system design, ensuring code compliance, and fostering client relationships. This position offers a hybrid work model and competitive benefits including 401(k) and wellness reimbursements.
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AMT Engineering is seeking a highly motivated Senior Transportation Engineer to join their Charleston, SC team, playing a key role in their expanding design teams. The ideal candidate will have over 8 years of Roadway Design experience and proficiency in SCDOT plan production.

This role involves leading transportation projects, mentoring junior staff, and ensuring excellent client service while maintaining flexible working conditions.

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Waymo is seeking an experienced professional in robotics and machine learning to enhance operational efficiency for its autonomous fleet in Mountain View, California. The role involves complex depot operations, leveraging advanced robotics, and integrating machine learning models at scale. Candidates should have over 3 years of experience in training large ML models and expertise in reinforcement learning. A PhD is preferred, along with strong collaborative skills. The position offers a hybrid work schedule and competitive salary based on experience.
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Farnsworth Group is seeking a Mechanical Engineering Manager - Healthcare in one of the posting locations below. The Mechanical Engineering Manager - Healthcare is responsible for leading the planning, design, and delivery of mechanical systems for healthcare and complex institutional facilities, including hospitals, ambulatory surgery centers, medical office buildings, and specialized clinical spaces. This role can be entrepreneurial, combining technical leadership, project management, and people management to drive high‑quality designs, superior client service, and profitable project delivery for our healthcare portfolio.

Posting Locations for this role:

Lisle, Normal, Peoria, or Springfield, IL; or St. Louis, MO

What You’ll Do

• Lead and manage the mechanical engineering team on healthcare projects from pursuit through construction closeout, including scope, schedule, budget, and quality.
• Serve as mechanical discipline lead on multi‑disciplinary project teams, coordinating closely with architecture, electrical, plumbing, technology, and structural disciplines.
• Support projects primarily in Illinois and the greater St. Louis region, with periodic travel to client sites and Farnsworth Group offices across the Midwest for coordination meetings, site visits, and construction support.
• Oversee and perform the design of mechanical systems for healthcare facilities, including HVAC, central plant, ventilation/pressurization, hydronic systems, and, where applicable, medical gas and specialized exhaust systems.
• Ensure designs comply with applicable mechanical and healthcare codes and standards, including IMC, IPC, IBC, NFPA, ASHRAE standards (e.g., ASHRAE 170), NFPA 99, and the FGI Guidelines for healthcare facilities, as well as state and local Department of Health and facility review board requirements in Illinois, Missouri, and neighboring Midwest jurisdictions.
• Provide technical review and quality control of mechanical calculations, drawings, specifications, and reports produced by the team.
• Guide system‑level decision‑making (concept selection, redundancy, resilience, energy performance, infection control support, maintainability) in collaboration with clients and internal stakeholders.
• Lead and/or support project management tasks including work planning, staffing, forecasting, fee and change‑order management, risk management, and financial performance tracking.
• Develop and maintain strong relationships with healthcare clients, facility managers, contractors, and regulators; represent the firm in client meetings, presentations, and interviews.
• Mentor, coach, and develop mechanical engineers and designers, providing technical guidance, performance feedback, and support for career growth.
• Contribute to healthcare practice growth through proposal support, scope and fee development, and participation in key pursuits and client development activities.
• Champion consistent use of firm standards, templates, and best practices, including BIM/Revit workflows and coordination processes for healthcare projects.
• Stay current with emerging technologies, sustainability strategies, and evolving codes/standards affecting healthcare mechanical design (e.g., energy codes, decarbonization strategies, low‑carbon HVAC solutions).
• Other duties, as assigned.

What You’ll Need

• Bachelor’s degree in Mechanical Engineering from an accredited program
• Licensed Professional Engineer (PE)
• Typically, 10+ years of progressive experience in building mechanical design, with significant experience on healthcare projects in an AEC/MEP consulting environment.
• Demonstrated experience serving as mechanical lead and/or project manager on multi‑disciplinary healthcare projects, including responsibility for client interaction, design delivery, and coordination.
• Solid knowledge of applicable mechanical and healthcare codes and standards (e.g., IMC, IBC, NFPA, ASHRAE standards, NFPA 99, ASHRAE 170, FGI Guidelines) and their application to hospitals and outpatient facilities.
• Proficiency with HVAC load calculations, air and hydronic system design, central plant design, and integration with BAS/controls.
• Proficiency in Revit and BIM coordination for mechanical systems; familiarity with Navisworks and clash detection processes preferred.
• Demonstrated ability to lead and mentor technical staff, manage multiple priorities, and deliver projects on time and within budget.
• Strong communication skills—able to explain complex engineering issues in clear, client‑friendly language and to lead effective meetings and presentations.

Nice to Haves

• Experience with major healthcare systems, academic medical centers, or large multi‑site healthcare clients.
• Experience with LEED, WELL, or other green building rating systems; credential (LEED AP, WELL AP) a plus.
• Experience with alternative delivery methods (Design‑Build, IPD, design‑assist) and early contractor engagement.

Who We Are

Join Farnsworth Group, a nationally recognized architectural, engineering, and surveying firm, where your career can thrive! For ten consecutive years, we’ve been certified as a Great Place to Work®, and our engineers, architects, surveyors, and scientists channel their passion and expertise into making meaningful contributions to the world around us. With almost 650 talented professionals across 24 offices, we collaborate with clients ranging from small communities to some of the world’s largest brands. Our success is built on our people - their passion, creativity, and commitment to excellence. Here, you’ll find a supportive culture that champions your growth, embraces challenges, values work‑life balance, and empowers you to make a lasting impact for our clients and the communities we serve. Join us and move your career forward.

A Great Place to Work Certified

For ten consecutive years, Farnsworth Group has earned the prestigious Great Place to Work® certification—thanks to our employees! Each year, our staff participates in a survey administered by the Great Place to Work organization, measuring perceptions of credibility, respect, pride, fairness, and camaraderie. The results are benchmarked against the nation’s leading companies, and only top performers receive the certification. Insights from the survey help us continually enhance our work environment and foster a culture that makes Farnsworth Group an even greater place to work.

Featured Benefits And Perks Include

• 401(k) with 100% Company Match up to 5%
• Medical/Dental/Vision Insurance Plans
• Flexible Spending and Health Savings Accounts
• Short & Long-Term Disability
• Maternity and Paternity Leave
• Professional Development and Training
• Mentoring Program
• Paid Time Off
• Wellness/Fitness Reimbursements
• Pet Insurance Plan
• Hybrid Work Program

Farnsworth Group appreciates that flexibility and work‑life balance are important aspects of the careers and lives of our employees. Our Hybrid Work Program offers employees a flexible work arrangement while contributing to the Company’s culture and success.

Statement on Diversity and Inclusion

Farnsworth Group is a collection of employees with unique backgrounds and perspectives that all come together to make us a better Company. It is our goal to recruit, hire, develop, retain, and promote a diverse group of people. Join us…and let’s make a difference, together.

Farnsworth Group, Inc. is proud to be a M/F Disabled and Veteran EEO/AA employer.

For immediate consideration, please Apply Online by clicking on the "Apply for this Position" tab below.

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A leading food manufacturing company is seeking a Director of Engineering in Holland, MI. This role involves driving high performance teams and delivering business results through strategic capital planning and management of various projects. The ideal candidate has extensive leadership experience and a strong educational background in engineering or a related field. Benefits include medical, vision, 401k, paid leave, and profit sharing.
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Overview

We at Innovaccer are looking for a Site Reliability Engineer-II to build secured modern healthcare cloud infrastructure and a massive data stack and aim to write everything as code.

Responsibilities

• Take ownership of SRE pillars: Deployment, Reliability, Scalability, Service Availability (SLA/SLO/SLI), Performance, and Cost
• Lead production rollouts of new releases and emergency patches using CI/CD pipelines while continuously improving deployment processes
• Establish robust production promotion and change management processes with quality gates across Dev/QA teams
• Roll out a complete observability stack across systems to proactively detect and resolve outages or degradations
• Analyze production system metrics, optimize system utilization, and drive cost efficiency
• Manage autoscaling of the platform during peak usage scenarios
• Perform triage and RCA by leveraging observability toolchains across the platform architecture
• Reduce escalations to higher-level teams through proactive reliability improvements
• Participate in the 24x7 OnCall Production Support team
• Lead monthly operational reviews with executives covering KPIs such as uptime, RCA, CAP (Corrective Action Plan), PAP (Preventive Action Plan), and security/audit reports
• Operate and manage production and staging cloud platforms, ensuring uptime and SLA adherence
• Collaborate with Dev, QA, DevOps, and Customer Success teams to drive RCA and product improvements
• Implement security guidelines (e.g., DDoS protection, vulnerability management, patch management, security agents)
• Manage least-privilege RBAC for production services and toolchains
• Build and execute Disaster Recovery plans and actively participate in Incident Response
• Work with a cool head under pressure and avoid shortcuts during production issues
• Collaborate effectively across teams with excellent verbal and written communication skills
• Build strong relationships and drive results without direct reporting lines
• Take ownership, be highly organized, self-motivated, and accountable for high-quality delivery

Qualifications

• 4-7 years in production engineering, site reliability, or related roles
• Solid hands-on experience with at least one cloud provider (AWS, Azure, GCP) with automation focus (certifications preferred)
• Strong expertise in Kubernetes and Linux
• Proficiency in scripting/programming (Python required)
• Observability is very critical for the scale of our systems and ability to find insights/behavior, detect problem/failures. Looking for leads to drive this charter spanning across logs, metrics, mesh, tracing etc.
• Knowledge of CI/CD pipelines and toolchains (Jenkins, ArgoCD, GitOps)
• Familiarity with persistence stores (Postgres, MongoDB), data warehousing (Snowflake, Databricks), and messaging (Kafka)
• Exposure to monitoring/observability tools such as ElasticSearch, Prometheus, Jaeger, NewRelic, etc
• Proven experience in production reliability, scalability, and performance systems
• Experience in 24x7 production environments with process focus
• Familiarity with ticketing and incident management systems
• Security-first mindset with knowledge of vulnerability management and compliance
• Advantageous: hands-on experience with Kafka, Postgres, and Snowflake
• Excellent judgment, analytical thinking, and problem-solving skills
• Ability to quickly identify and drive optimal solutions within constraints
• Lead least privilege based RBAC for various production services and tool chains
• Able to perform with cool head under pressure situations without taking any shortcuts
• Collaboration with solid verbal and oral communication skills are very critical to this role. Strong cross-functional collaboration skills, relationship building skills, and ability to achieve results without direct reporting relationships
• Ability to quickly identify and drive to the optimal solution when presented with a series of constraints
• Excellent judgment, analytical thinking, and problem-solving skills
• Self-motivated individual that possesses excellent time management and organizational skills
• Strong sense of personal responsibility and accountability for delivering high quality work.

Benefits

• Generous Paid Time Off: 22 days per year plus company holidays
• Best-in-Class Parental Leave
• Recognition & Rewards: monetary incentives and company-wide recognition
• Comprehensive Insurance Coverage: medical, dental, vision; 100% company-paid disability and basic life insurance

Innovaccer Inc. is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive workplace where all employees feel valued and empowered regardless of protected characteristics. Innovaccer Inc. participates in the E-Verify program to confirm employment eligibility of all newly hired employees based out of the U.S. and employed by Innovaccer Inc.

Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, report them to our HR department at

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