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Vanguard is seeking a senior leader for their global Windows Endpoint ecosystem, focused on strategy, engineering, and operational excellence. You will oversee teams managing Windows 10/11, Azure Virtual Desktops, and more, driving modernization and efficiency.

The ideal candidate has 10+ years of experience, deep expertise in endpoint management, and a proven ability to lead large-scale engineering organizations. This role is pivotal in enhancing user experience and compliance.

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Engineering & Hardware Category Manager

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.

Waymo's Procurement and Vendor Enablement Office (PVEO) is the strategic engine behind our rapid commercial scaling. We don't just buy services; we design the workforce architecture that powers the Waymo Driver. In this senior leadership role, you will lead the Enterprise Outsourcing & Services vertical. You will partner with Executives across Engineering, Operations, and Corporate functions to define the "Future of Work" at Waymo determining how we leverage the global external ecosystem to scale our Mapping, Labeling, Engineering, and Corporate capabilities.

You will:

• Develop and execute a comprehensive procurement strategy for Engineering Services and R&D Hardware, balancing cost optimization with speed-to-market for prototypes and technical development.


• Proactively manage a high-volume pipeline of outsourced engineering workforce contracts; lead negotiations for mission-critical engineering design firms to secure favorable long-term commercial and IP terms.


• Structure and negotiate complex Statements of Work (SOWs) and Non-Recurring Engineering (NRE) agreements for hardware development to ensure successful project delivery and ROI.


• Optimize Joint Design Manufacturing (JDM) and Original Design Manufacturing (ODM) relationships for R&D components, ensuring competitive pricing and seamless fulfillment logistics for hardware iterations.


• Act as the trusted advisor to Engineering and Hardware leadership; lead complex "make vs. buy" analyses and influence technical requirements to drive commercial value and mitigate supply chain risk.


• Partner with Legal (IP/Security) to ensure all engineering services and hardware agreements meet Waymo's rigorous intellectual property protection and cybersecurity standards.

You have:

• 7+ years of strategic procurement experience, with at least 4+ years dedicated to Engineering Services, R&D, or Hardware sourcing.


• Deep expertise in outsourced engineering models (managed services, staff augmentation, fixed-bid) and experience negotiating with Tier 1 engineering service providers.


• Proven ability to draft and negotiate complex commercial contracts, including MSAs, NREs, JDM/ODM agreements, and highly technical Professional Services SOWs.


• Experience managing R&D hardware lifecycles (EVT, DVT, PVT) and negotiating with custom component manufacturers and prototyping houses.


• Strong financial acumen with the ability to present TCO (Total Cost of Ownership) analysis to Finance and Hardware Engineering leadership.


• Ability to operate in a high-velocity environment, managing multiple concurrent high-priority sourcing events for unreleased technologies.

We prefer:

• Experience in a hyper-growth Tech, Autonomous Vehicle (AV), or automotive manufacturing environment.


• Engineering background or profound understanding of hardware development and systems engineering principles.


• Experience using Ariba P2P, e-sourcing, and Spend Analysis tools.

Travel:

• Estimated 10-15% (Vendor QBRs, supplier audits, & HQ visits as needed).

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 $159,000$196,000 USD

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Worley is seeking a Lead Electrical Engineer for their Mining, Minerals and Metals projects in Mesa, Arizona. The successful candidate will manage a multidisciplinary engineering team, ensuring project quality, cost, and schedule adherence.

Qualifications include a Bachelor’s in Electrical Engineering, 10+ years in a similar role, and a valid Electrical Professional Engineer license in Arizona. The role requires excellent problem-solving skills and proficiency in industry-standard tools like ETAP and DIALux. Join Worley for a chance to drive innovative projects in the energy and resources sectors.

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Mitsubishi Heavy Industries in Carrollton, Texas, is seeking a Principal Electrical Engineer for centrifugal chiller design. This hybrid role connects U.S. and Japan-based teams, focusing on translating U.S. requirements into design inputs.

The ideal candidate will have over 12 years of experience in electrical engineering, particularly in managing project scope and compliance. The company offers excellent benefits, growth opportunities, and values diversity.

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NVIDIA is searching for a Hardware Engineering Lab Manager in Hillsboro, Oregon. In this vital role, you will oversee lab operations, ensuring safety, regulatory compliance, and effective organization of lab resources.

The ideal candidate will have at least 5 years of experience leading a testing lab, a strong organizational mindset, and knowledge of programming and networking. The position offers a competitive salary range of $136,000 to $212,750, commensurate with experience.

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NewsBreak in Mountain View, California, is seeking a Machine Learning Engineer to lead the post-training of large language models. You will drive continuous pre-training, supervised fine-tuning, and reinforcement learning while collaborating closely with product and business teams.

The ideal candidate has hands-on experience with RL techniques and strong data engineering skills, particularly with GPU training. This role offers competitive benefits such as health coverage and a top-tier 401(k) plan.

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Pluralsight is seeking a Machine Learning Engineer based in Dallas, Texas. The role involves developing recommendation systems and collaborating with teams to optimize user experiences. Candidates should have strong experience in machine learning and coding, preferably with Python and TensorFlow.

This position offers remote work with on-site collaboration required Tuesday through Thursday, providing flexibility while maintaining team effectiveness. The annual salary range for this position is $121,600 - $160,000, depending on skills and experience.

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About the Role

Leon Capital Group is a multi-billion-dollar holding company with operating businesses across healthcare, real estate, and financial services. Within the Financial Services Group (FSG), we are building an AI-native operating model from the ground up: a dedicated, full‑lifecycle innovation function that identifies, designs, builds, delivers, and implements AI products across our portfolio companies.

This is two halves of one job: The Data Platform & Machine Learning Engineer will own the data platform every FSG AI product depends on, and you build the first machine learning models on top of it. The two are inseparable, because the models are only as good as the proprietary, provenance‑tracked data beneath them, and that data is yours to design, capture, and own. Not a pipeline specialist, not a modeling specialist, but the engineer who does both, on a foundation they stood up themselves.

The role has a deliberate arc. The first six months lean heavily toward data engineering: the canonical model and warehouse, ingestion that forces messy external data into our schema, and judgment capture that turns every human decision into labeled training data. As that corpus matures, the center of gravity shifts toward building the first risk and recommendation models on it. You work across our portfolio companies, standing up each one’s own data layer and models, and reusing the same patterns and discipline rather than reinventing the approach each time. We want someone energized by both halves, not someone tolerating the foundation to reach the models, or the reverse.

Key Responsibilities

• Design and own the canonical data model and warehouse, built to remain ours regardless of which vendors we buy.
• Build the data platform and models as reusable patterns, standing up each portfolio company's own instance rather than a bespoke build each time.
• Build ingestion pipelines that pull from hostile, heterogeneous sources into our schema with full provenance, including vendor servicing output, flat‑file, and SFTP partner feeds with no API, and public registry data.
• Stand up judgment capture from the first transaction: structure every decision and correction as labeled training data, the raw material that human‑in‑the‑loop workflows and future models both depend on.
• Lay the groundwork for risk and recommendation models: feature engineering, training‑set construction, model evaluation, and calibration.
• Build validation, monitoring, and lineage so data‑quality issues are caught before they reach models or decisions.
• Enforce the data‑ownership bar in every buy decision: vendor output must land in our canonical structure, in our schema, and remain portable on exit.
• Partner closely with the Forward‑Deployed Engineer, providing the models, data, and serving interfaces their decision surfaces are built on.
• Partner with shared IT and security on regulated‑data handling, secrets management (e.g., Doppler), and compliance prerequisites.

Qualifications

Required

• 5+ years building data systems end‑to‑end, ideally as an early or founding data hire at a startup where you owned the whole data function rather than one stage of a large team.
• Strong data engineering fundamentals: schema design, ETL and ELT pipeline architecture, and production experience with PostgreSQL.
• Proven experience integrating against messy enterprise systems and against flat‑file or SFTP feeds with no clean API.
• Hands‑on document extraction and structuring experience.
• Comfort owning data infrastructure in a major cloud environment (we use a mix across Azure and AWS); you can stand up and run the warehouse and pipelines without a dedicated platform team.
• Comfort building under regulatory and fiduciary constraints, and handling sensitive, regulated data (PHI, financial) with the secure practices it requires.
• Applied machine learning and statistical modeling depth: feature work, model evaluation, calibration, and the judgment to reason about model risk. You orchestrate and apply models; you do not need to publish research.
• Working fluency with LLM orchestration (e.g., LangGraph), retrieval‑augmented generation, and disciplined prompt and evaluation practices.
• Excellent judgment under ambiguity and the ability to prioritize across multiple portfolio companies without close oversight.

Preferred

• Regulated‑domain experience – insurance, reinsurance, healthcare, or financial services – where you have built to compliance constraints.
• You have been the person the whole company's data depended on, at a place small enough that there was no one else to do it.

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Overview

Do you love building and prototyping robust electrical systems? Do you want to provide real impact on the nation’s toughest national security problems? If so, join our team at APL. The Miniature Device Technologies Group develops highly customized tools and techniques to carry out missions around the globe, working hand‑in‑hand with government sponsors to conceive and realize solutions that solve challenging problems.

We are seeking an experienced senior physical design ASIC engineer who will advance miniature systems for a wide range of applications. In this role you will be responsible for all backend flow aspects, including synthesis, floor‑planning, timing analysis, design partitioning, SCAN and BIST insertion, and physical verification checks. You will work closely with the ASIC design team to identify and address back‑end issues in RTL and gate‑level phases, explore process selection for new proposals, and perform custom physical design as needed.

Responsibilities

• Digital back‑end flow from synthesis to a completed, verified top‑level layout ready for tape‑out submission.
• Contribute to process selection for new designs and proposals.
• Floor‑plan top‑level layout of digital and mixed‑signal ASICs.
• Perform timing analysis and design partitioning.
• Insert SCAN and BIST for maximum defect coverage.
• Debug and address back‑end related RTL and gate‑level issues with digital designers.
• Perform all physical verification, including DRC, DRC+, MCD, and LVS.
• Execute custom physical layout.
• Assist with ASIC design environment enhancements and scripting.
• Drive process improvements and implement innovative solutions.
• Build and maintain strong working relationships with cross‑functional teams.
• Provide leadership and guidance to junior physical design engineers.
• Collaborate with the team to achieve project goals and objectives.
• Foster open communication and collaboration among stakeholders.

Qualifications

• Associate’s degree in a technical field or equivalent experience/education/certifications.
• Proficiency with Cadence ASIC design tools for back‑end flow implementation.
• Experience with Siemens Calibre physical verification tools.
• At least 6 years of experience performing back‑end ASIC design.
• Ability to obtain an Interim Secret level security clearance by the start date and ultimately obtain a Secret level clearance. U.S. citizenship required.

Preferred Qualifications

• Experience with custom physical layout in Cadence Virtuoso.
• Extensive knowledge of ASIC technology characterization for process selection.
• Active clearance or prior successful single‑scope background investigations.

Pay

• Minimum Rate: $105,000 annually.
• Maximum Rate: $290,000 annually.

Benefits

APL offers generous benefits, including education assistance, retirement contributions, paid time off, medical, dental, vision, life and disability insurance, flexible spending accounts, and training and development programs. Employees also enjoy a healthy work/life balance.

EEO Statement

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, genetic information, veteran status, employment status, or any other characteristic protected by law. APL is committed to providing reasonable accommodation to individuals of all abilities. If you require a reasonable accommodation, please contact

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Moveworks is seeking a Machine Learning Team Lead in Mountain View, California. In this role, you will recruit and mentor a team of skilled engineers and manage key machine learning projects.

The ideal candidate has a Master's degree, 5+ years of experience, and strong technical and communication skills. The position offers a competitive salary range of $187,000–$299,000, equity options, and exceptional benefits.

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Summary

In this role, you will provide strategic and technical leadership across engineering teams to ensure delivery excellence, scalability, and alignment with enterprise objectives. You will lead cross-functional initiatives, develop technical roadmaps, and partner with product, architecture, and business stakeholders to deliver secure and reliable solutions. You will coach and develop engineering talent, drive organizational effectiveness, and establish engineering standards and best practices that support long-term business success.

Responsibilities

• Lead and develop engineering teams through coaching, mentorship, and regular performance discussions.


• Drive performance management, career development, and succession planning initiatives.


• Recruit, develop, and retain engineering talent to support organizational and product objectives.


• Assess organizational health and guide team design to align with business priorities.


• Partner with Product Management and Architecture to develop and align technical roadmaps with enterprise strategy.


• Establish and enforce engineering standards, best practices, and scalable delivery processes.


• Lead technical risk assessment, mitigation planning, and resolution of complex engineering challenges.


• Oversee cross-team coordination, resource planning, and delivery execution for complex initiatives.


• Communicate delivery progress, risks, and outcomes to stakeholders and executive leadership.


• Champion cross-domain collaboration, process improvement, and organizational scaling strategies.

Qualifications

• Relevant degree preferred.


• 7 or more years of relevant experience required.


• Demonstrated success leading engineering teams within a matrixed environment required.


• Experience aligning technical strategy and delivery with organizational goals required.


• Strong knowledge of Agile delivery practices and software development lifecycle methodologies required.


• Experience establishing engineering standards, governance, and best practices required.


• Background supporting infrastructure, platform engineering, or shared services teams preferred.


• Experience designing and deploying large-scale data applications preferred.


• Experience working within regulated industries such as healthcare preferred.

Career Framework

Management - Director (M3)

Estimated Hiring Range

At Vizient, we consider skills, experience, and organizational 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.

Benefits

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

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Motus Integrated Technologies, located in Holland, MI, seeks a Director of Product Engineering. This role involves managing all engineering activities, leading the product development team, and ensuring product launches that meet performance metrics. The ideal candidate will have a Bachelor's degree in engineering, 7+ years of product development experience, and a broad knowledge of automotive manufacturing. The position fosters team development and innovation while promoting efficient product design and manufacturing processes.
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Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads. Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter! If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders. Lightmatter is (re)inventing the future of computing with light! We are hiring a Photonics PDK Design Automation Engineer to join our team. In this role, you will develop our internal Process Design Kit (PDK). You will act as the architect of our component library, bridging the gap between photonics device design and system-level verification. You will develop robust flow ensuring that our simulation environment accurately predicts the behavior of our physical layouts. You will work heavily in Python, EDA tools, applying software engineering rigor to the challenges of photonic hardware design.

Responsibilities

• Develop and maintain a library of pcells using Python-based layout frameworks. Ensure strict synchronization between physical layout, logical netlists, and behavioral models.
• Develop and maintain custom photonic Layout vs Schematic (LVS) decks across multiple foundry technologies
• Design and test device and parameter extraction for innovative photonic devices
• Troubleshoot and resolve LVS mismatches in complex analog and photonic circuits
• Actively collaborate with design, layout, modeling, and infrastructure engineers to deliver high impact tape-outs
• Automated Verification: Implement regression testing and Continuous Integration (CI) pipelines to ensure PDK updates do not break legacy designs or connectivity logic.
• Contribute to other PDK, DRC, and automation projects as needed

Qualifications

• Masters or PhD in Electrical Engineering, Computer Engineering, Photonics, or related field.
• 3+ years experience in LVS deck development for Siemens Calibre, Cadence Pegasus, and/or Synopsys IC Validator, experience troubleshooting and resolving LVS mismatches in complex circuit designs
• Experience with photonics layout
• Python based layout experience. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
• Experience writing software and scripts in languages such as Python, SVRF, Tcl, Bash, and SKILL
• In-depth knowledge of integrated photonic devices, analog devices, and parasitics
• In-depth knowledge of foundry process (SOI, etching, implants, metal stacks)
• Proficiency with Linux environments, advanced version control (Git), and software engineering best practices
• Demonstrated strong problem solving skills for problems without obvious solutions

Preferred Qualifications

• Proficiency with python-based layout tools such as gdstk, GDSFactory, and KLayout
• Experience with Git setup, version control, unit testing (pytest), and CI/CD workflows.
• Prior experience in performing physical layout using foundry-provided process design kits (PDKs), adhering to specific design rules and constraints.
• Experience with DRC deck and rule development
• Experience working on large-scale designs using industry standard environments such as Cadence Virtuoso
• Excellent communication skills, with a demonstrated ability to collaborate effectively with multidisciplinary teams
• Strong project execution skills, with the ability to handle multiple priorities and meet project milestones

We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data. Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution.: $165,000 USD - $200,000 USD

Benefits

• Comprehensive Health Care Plan (Medical, Dental & Vision)
• Retirement Savings Matching Program
• Life Insurance (Basic, Voluntary & AD&D)
• Generous Time Off (Vacation, Sick & Public Holidays)
• Paid Family Leave
• Short Term & Long Term Disability
• Training & Development
• Commuter Benefits
• Flexible, hybrid workplace model
• Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

Export Control

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws.

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Waymo is on the lookout for a Machine Learning engineer to join their Perception team. The role involves taking ownership of ML Driver tasks, analyzing system performance, and monitoring ML systems in production. Candidates should have a Bachelor's degree in Computer Science or equivalent experience, along with at least 5 years in Machine Learning and Computer Vision.

Preferred qualifications include an MS or PhD in related fields and familiarity with C++. Good compensation package includes a salary range of $251,000—$310,000 USD, along with bonuses and benefits.

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The hardware team at ISEE is seeking a full‑time electrical engineer with a strong foundation in the fundamentals of electrical engineering. This role involves research and development of replacement or new subsystems in the electro‑mechanical architecture for both prototype and production‑intent devices for autonomous vehicles.

Role responsibilities

• Embedded development, programming and collaboration with embedded developers
• Defining and designing communication systems such as CAN (J1939, CANOpen), SPI, I2C, USB, and RS-232
• Working with others to develop and design the overall electrical architecture
• Integrating electronics into vehicles
• Design of safety‑critical system elements
• Verification and validation of electrical systems
• Working with suppliers and driving implementation from development into production
• PCB layout and schematic design

Qualifications

• Bachelor's or Master's Degree in Electrical Engineering
• Passionate about self‑driving vehicles
• Excellent communication skills
• Experience with electrical drawings and parts management
• Experience with prototyping of boards

Preferred

• 10+ years of work experience
• Experience with actuators and sensors of varying types
• Experience with safety‑critical design work
• Robotics/autonomous experience is a plus
• Experience with verification and validation processes

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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This range is provided by Pop-Up Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$80,000.00/yr - $110,000.00/yr

Direct message the job poster from Pop-Up Talent

Sr. Technical Recruiter & Account Manager

Manufacturing Engineer (Automation)

As a Manufacturing Engineer for American Motion Systems (AMS), you will complete key automation projects, manage project schedules, oversee new tool implementation, and drive innovation through cutting-edge manufacturing process development—all while collaborating closely with our internal Engineering team to deliver exceptional results.

Can you see yourself driving success as a key player in the engineering team? If so, please read on.

ARE YOU:

• EXPERIENCED WITH AUTOMATION PROJECTS. You are comfortable planning, managing, and completing projects that involve motion control, programing, electrical schematic design, and documentation
• A PROACTIVE AND SELF-STARTER. You take the initiative to identify new process improvement opportunities, collaborate with internal stakeholders to find solutions independently after the initial shadowing process, and manage tasks with minimal supervision
• DETAIL ORIENTED AND RESPONSIBLE. You take full responsibility for maintaining a clean, organized work environment and consistently go above and beyond, putting in extra effort when needed to ensure efficiency

ESSENTIAL DUTIES MAY INCLUDE:

Within the first 30-90 days:

• Shadow key individuals on the engineering and manufacturing team, gaining firsthand experience in motor design and manufacturing while simultaneously learning AMS's machinery, tools, and capabilities
• Complete small, predetermined projects as assigned by engineering management
• Attend weekly meetings and begin to identify new unidentified opportunities for improvement to manufacturing efficiency
• Begin to learn the different software and programs that AMS utilizes, how/when to properly use it, find necessary information, etc. (i.e., Syteline, AutoCAD, SolidWorks, Microsoft Office, etc.)

4-6 months and ongoing:

• Conducts research on New Product Introduction (NPI) requirements to make informed decisions regarding the acquisition of suitable equipment and tooling, subsequently submitting findings to the Engineering Management for review
• Visits vendors (machine, equipment, tool suppliers) as necessary to gain insight into equipment capabilities and functionality. Brings back learnings to share with the technicians and Engineering Management for developed usage of machinery, tooling, and equipment
• By the 6-month mark, is fully independent in the role and has completed at least 1 high level automation project

7-12 months and ongoing:

• Identifies, analyzes and proposes new high level manufacturing improvement projects to management
• Drives internal process improvements by completing 3-5 major projects by the end of their first year
• Able to review new designs and provide Design for Manufacturability (DFM) feedback to the Design Engineering team, define tooling requirements, and identify gaps in capability
• Receives inquiries from the design team, assesses the feasibility of the job, provides labor cost estimates, and ensures readiness to proceed with the manufacturing process if the job aligns with the team's capabilities

EDUCATION, SKILLS & EXPERIENCE:

• At least 2+ years' experience in a manufacturing & automation experience position or similar role required
• At least 1+ year working experience as an intern or engineering role within a component manufacturing/machining environment or related industry such as medical, aerospace, or machining required
• Bachelor's degree in Manufacturing, Mechanical, Industrial, Electrical Engineering or related field required
• Experience with electrical circuits, PLC programing, motion control, statistical analysis required
• Experience with either AutoCAD or SolidWorks required (similar CAD software's are acceptable)
• Proficiency with programming in ladder logic and structured text preferred
• Ability to read engineering drawings and electrical schematics required

We are an equal opportunity employer, and we are an organization that values diversity. We welcome applications from all qualified candidates, including minorities and persons with disabilities.

req

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Manufacturing

• Industries

  Industrial Machinery Manufacturing

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FORTÉ is seeking a Design Engineer with 3+ years of experience in audiovisual systems. The role involves supporting system architecture, completing high-quality documentation, and designing integrated solutions tailored to customer needs.

Located in San Antonio, Texas, FORTÉ offers a culture of employee ownership, comprehensive benefits, and a commitment to professional growth. Ideal candidates will have experience with AV control systems and project management skills.

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Join Us!

The Honolulu Authority for Rapid Transportation (HART) is the public transit authority responsible for planning and constructing Skyline, Honolulu's rail transit system. It is the first fully automated, driverless urban light metro system in the United States and represents the largest public infrastructure project in the history of Hawaii.

Skyline's route is approximately 19 miles, with 19 stations, along Oahu's southern coast, and it is being constructed in three segments. The first segment, from East Kapolei to Aloha Stadium, is already in revenue service, with the next segments planned to extend service from Middle Street, through downtown Honolulu, to the Civic Center Station.

Reporting directly to the Construction Claims Manager, the Construction Engineer will play a key role in managing construction claims, ensuring compliance with contracts, and supporting litigation efforts. This position requires strong analytical skills and expertise in contract management.

Job Duties & Responsibilities

1. Review contracts, project documentation, and correspondence to identify potential claims issues.
2. Analyze contractor claims for validity and prepare detailed reports with findings and recommendations.
3. Interpret terms and conditions in proposals, awards, and contracts.
4. Communicate with HART project managers and staff to gather project documentation and facts relevant to claims.
5. Prepare reports, chronologies, summaries, and other documents to support HART's position on claims.
6. Collaborate with construction management staff and experts to evaluate and monitor claims.
7. Develop correspondence, task orders, and other claims-related documents.
8. Create reports using Word, Excel, PowerPoint, and other software as required.
9. Organize claims materials and files to ensure appropriate access for all stakeholders.
10. Strategize with project managers, corporate counsel, or other involved parties to provide litigation support for claims.

Minimum Requirements

1. Bachelor's degree in Engineering from an accredited college or university. Degrees in related disciplines demonstrating equivalent knowledge may also be considered.
2. Minimum of 10 years' experience in construction management.
3. At least 3 years of experience demonstrating substantive knowledge of contract management, change orders, or construction fieldwork.
4. Experience on major public transit construction projects or within legal departments/law firms is preferred but not required.
5. Strong written and oral communication skills.
6. Proficiency in Microsoft Office applications (Word, Excel, PowerPoint).

Physical Requirements

Candidates must meet the health and physical condition standards necessary to perform the essential duties of this position effectively.

Benefits

HART is a part of the City and County of Honolulu, and employees enjoy a comprehensive benefits package provided by the City. This includes:

1. Medical, prescription drug, vision, dental, and life insurance plans
2. Generous vacation and sick leave, earning up to 21 days per year
3. 13 paid holidays annually (14 days during election year)
4. Retirement plan contributions through the Employees' Retirement System (ERS)
5. Deferred compensation options to invest pre-tax income for retirement
6. Flexible spending accounts for health and dependent care expenses
7. Pre-tax transportation benefits, including TheBus and vanpool options
8. Access to confidential counseling services through the Employee Assistance Program (EAP)
9. Additional perks include training opportunities and employer-funded Holo Card for eligible employees to use on public transit
10. Eligibility for the public Service Loan Forgiveness (PSLF) program, supporting employees dedicated to public service

Work Schedule and Location

1. Schedule: Monday – Friday, 8-hour shift.
2. Location: The work for this position is conducted on-site at the HART offices located in Honolulu, Hawaii 96813. Telecommuting is not currently available for this role.
3. Relocation: HART does not cover relocation costs. Candidates must be able to reliably commute or relocate to Honolulu by first day of employment.

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iFIT in Logan, Utah is looking for an experienced Mechanical Engineering Manager to lead the R&D Hardware Engineering team. This role involves overseeing the mechanical engineering roadmap and driving execution across various programs to ensure the delivery of high-quality fitness products.

The ideal candidate will have a strong background in mechanical engineering, proficiency in SolidWorks, and the ability to manage teams effectively. A compensation range of $130,000 – $175,000 is offered for this position.

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Senior Energy Recruiter | 2,000+ Strategic Placements | Helping Top Talent Shape the Future of Decarbonized Energy at BKV | Upstream • Midstream •…

We need someone who can design compression systems, manage construction projects, and speak the language of midstream operations.

BKV Corporation is a $2B publicly‑traded energy company doing something distinctive—we're vertically integrated across upstream natural gas production, midstream operations, power generation, and operational carbon capture (CCUS). We're not just talking about it. We're building it.

What You'll Do:

• Design and optimize compression systems, pipeline infrastructure, and processing facilities
• Manage construction projects from concept through completion—initial design, P&ID development, pre‑construction planning, and field execution
• Develop P&IDs and process flow diagrams using AutoCAD or similar CAD software
• Work with engineering contractors to ensure quality control and project delivery
• Optimize midstream operations: throughput, compression efficiency, pipeline performance
• Collaborate across operations, land, procurement, and environmental teams to execute projects safely and on budget
• Apply hands‑on construction knowledge to solve field challenges in real time

What We Need:

• 7‑10 years in midstream facilities engineering with direct construction project management experience
• Proven ability to manage projects from ground‑up—concept, design, engineering, construction execution
• Strong compression system design and optimization background
• Pipeline modeling experience (process modeling tools)
• P&ID development proficiency using AutoCAD or equivalent
• Cross‑functional collaboration skills—you've worked with operations, land, procurement, and environmental teams
• Ideal background: Smaller midstream shops where you wore multiple hats (generalist over narrow specialist)
• Bonus: CO₂ compression or CCUS project experience

Why Engineers Choose BKV:

• Vertically integrated operations: Work across upstream, midstream, power generation, and CCUS—not siloed into one narrow function
• Real projects: Your designs get built and commissioned, not shelved
• Financial stability: Profitable public company ($2B) investing in growth and operational CCUS technology
• Fort Worth base: Lower cost of living, direct access to Barnett Field operations, established energy community
• Collaborative culture: Leadership values practical engineering judgment and cross‑functional teamwork

Location: Fort Worth, TX (DFW Metroplex)

Education: BS in Mechanical, Electrical, Civil, or Industrial Engineering

Software: AutoCAD for P&ID development; pipeline modeling tools

Experience Level: 7‑10 years in midstream facilities and construction

If this aligns with your background and you've researched BKV's operations, let's have a conversation.

Apply directly or message me on LinkedIn.

Job Details: BKV Careers Job #

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Our Mission

As the world’s number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We’re looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.

(*Comscore, Total Visits, March 2025)

Day to Day

At Indeed, we are committed to delivering exceptional experiences that connect job seekers with opportunities through innovative technology. We integrate machine learning at every step to create consistent, engaging, and secure experiences that meet the needs of our users. Our teams consist of Software Engineers, UX Designers, Product Managers, and Machine Learning professionals collaborating across regions to drive impactful business outcomes.

As a Machine Learning Engineering Manager, you will onboard and oversee junior scientists and technical leads, partnering closely with Product, Software Engineering, and UX teams. Your focus will include developing and innovating machine learning ecosystems that upgrade job seeker journey experience end to end.

Responsibilities

• Coach Machine Learning Engineers and Data Scientists on the Journey team to improve their performance, advise them on their career direction, and develop their qualifications.
• Work to understand, prioritize, and plan the team’s work items without external guidance.
• Ensure delivery of machine learning solutions, set expectations for what can be done and by when, and prioritize incoming projects.
• Improve existing Agile, ML, and A/B testing processes and develop new ones.
• Scope projects, gather and improve on requirements, and delegate work effectively.
• Partner with and provide project direction and feedback to cross‑functional peers, including Product Managers, Software Engineers.
• Remove roadblocks and give individual contributors autonomy and ownership.
• Brainstorm with teammates about practical experimental design, navigating production codebases, and model development.
• Be prepared to closely engage and contribute directly to implementation when necessary.

Skills/Competencies

• Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master’s degree with a minimum of 6 years of experience; or a PhD with a minimum of 3 years experience.
• Demonstrated achievement as a Manager in Machine Learning Engineering, overseeing teams of 3 or more, and addressing intricate, large‑scale problems.
• Well‑versed in coding (Python, Java, Go, or C++) and experience with SQL Databases like Presto, and data processing frameworks like Spark.
• Have full‑stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring.
• Highly effective in coaching Machine Learning Engineers, facilitating qualification enhancement, and fostering career development.

Salary Range Transparency

Tier 1 - United States of America 163,000 - 245,000 USD per year

Tier 2 - United States of America 182,000 - 272,000 USD per year

Tier 3 - United States of America 199,000 - 299,000 USD per year

Tier 4 N/A

Tier 5 - United States of America 227,000 - 341,000 USD per year

Salary Range Disclaimer

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job‑related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region‑specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. Candidates can view geographic pay tiers by location on our career site ( and recruiters can confirm how location is considered for a specific role.

Benefits – Health, Work/Life Harmony, & Wellbeing

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401k plan, as well as an equity‑based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at !

Equal Opportunities and Accommodations Statement

Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro‑diversity, disability, age, or veteran status, or any other non‑merit based or legally protected grounds.

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For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (

Inclusion & Belonging

Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.

We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.

Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.

Indeed’s Employee Recruiting Privacy Policy

Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site’s user and privacy policy found at we also want to make you aware of our recruitment specific privacy policy found at

Agency Disclaimer

Indeed does not pay placement fees for unsolicited resumes or referrals from non‑candidates, including search firms, staffing agencies, professional recruiters, fee‑based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed’s internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.

AI Notice

Indeed is committed to ensuring fairness and transparency throughout our hiring process. We use artificial intelligence (AI) tools to assist in the screening, assessment, and selection of applicants for this position by analyzing information provided in resumes and applications. Our use of AI does not replace human decision‑making.

Unless otherwise notified, Indeed does not use AI constituting an AEDT or an ADMT as those tools are defined in applicable laws.

Reference ID

47119

The deadline to apply to this position is 6/9. Job postings may be extended at the hiring team’s discretion based on applicant volume.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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