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Quality Control Engineer III (4038)
Navarro Inc.
Las Vegas, NV
Navarro Research and Engineering is recruiting a Quality Control Engineer III (4038) in Las Vegas, NV.
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Senior BIM Coordinator
HDR
Atlanta, GA · Charlotte, NC · Kansas City, MO · Omaha, NE · Dallas, TX · Arlington, VA · Pennington, NJ · Chicago, IL
Work for a specific discipline, with minimal direction from the Architect/Engineer, or other technical professional
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Sr. Quality Engineer
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Laurel, MD
- $115,000 to $125,000 USD / year
We are seeking a detail-oriented and analytical Quality Engineer to join our team. The Quality Engineer will be responsible for ensuring that our products and processes meet established…
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Mobile Engineer
Stefanini Group
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Senior Cloud Security Engineer
Iterable
Remote, United States
- $141,000 to $194,000 USD / year
…cross-functional effort across the company to ensure that all systems remain secure in support of Iterable's core values, and to provide assurance to our customers that we will be good…
Added 1 min ago
MS
Licensed Stationary Engineer-Engineering-Mount Sinai Rivington-Part Time/Days (8am-4pm)/Fri-Sun/Rotating Mondays
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Controls Engineer
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Building Systems Engineer II
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Minimum three years’ experience working in engineering, construction, or facilities management with emphasis in mechanical and electrical systems.
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Engineering Intern
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Current undergraduate student majoring in Engineering, with an emphasis on Aerospace, Mechanical, Systems, Process, or another related field.
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Field Service Engineer
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…field expertise for low- and medium-voltage power distribution systems. The Senior Field Service Engineer will lead installation, testing, commissioning, and troubleshooting activities for…
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We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable…
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Planner II
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Planning Engineer II is a remote-based full-time position, individual contributor who is part of the Local/ILEC Edge Planning team in Lumen’s North American Operations group.
Added 2 mins ago
Software Engineer II
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Salem, OR
Amentum is a global leader in advanced engineering and innovative technology solutions, trusted by the United States and its allies to address their most significant and complex challenges…
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Mainframe Technical Engineer
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Bachelor’s degree in Computer Science, Information Systems, Computer Engineering or relevant experience and/or education as determined by the company in lieu of bachelor's degree.
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Software Engineer, Infrastructure - Central Growth
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…billion-user product, and increasingly we are building AI-native systems so growth scales out-of-the-box to every new product Meta launches. If you want to work on products and platforms…
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Advanced Lead Supplier Quality Engineer - Composites
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Senior Network Engineer
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…organization scale out into new markets. As our Sr. Network Engineer, you will report to the Director of Network Services and will be responsible for providing technical maintenance,…
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Process Engineer
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The Process Engineer manages the entire cement manufacturing process. This position analyzes the process and suggests ways to improve operations.
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Missile Test Engineer - Entry Level - Rockville, MD
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Join BAE Systems’ Intelligence and Security Sector and be part of a diverse and enthusiastic team who solves some of the world's most complex technical challenges. BAE Systems is seeking a…
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Process Innovation Consultant
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Examinetics is hiring a Process Innovation Consultant to join our growing team! The Process Engineer is an embedded business consultant with a builder's toolkit: a systems thinker who…
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Senior Customer Integration Engineer
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Added 6 mins ago
Software Quality & Process Architect – Emerging PM
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Huntsville, AL
Our company is seeking a high-caliber Software Quality & Process Architect to drive software process engineering, framework design, and quality governance support across our global Controls…
Added 6 mins ago
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Full Stack Engineer - Remote
Kforce
Remote, United States
- $46 to $52 USD / hour
Kforce has a client in Phoenix, AZ that is seeking a Full Stack Engineer (Remote) to join a modern cloud engineering team focused on building, supporting, and enhancing scalable…
Added 6 mins ago
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Senior Electronic Design Engineer
Kforce
Phoenix, AZ
- $140,000 to $170,000 USD / year
Kforce's client, a growing Engineering Technology company in the Northwest Phoenix, AZ area, is seeking a Senior Electronic Design Engineer. We are working directly with the hiring manager…
Added 6 mins ago
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Controls Engineer / PLC Programmer
Kforce
Chandler, AZ
- $85,000 to $125,000 USD / year
Kforce's client, a growing engineering and automation firm in Chandler, AZ, is seeking a Controls Engineer/PLC Programmer to design, program, and commission PLC, HMI, and SCADA systems for…

Closed listing

General Motors

Staff Machine Learning Engineer - Mapping

Columbus, OH, United States

The salary range for this role: is $185,100 to $335,300.

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: The salary range for this role: is $185,100 to $335,300.
Experience: 5+ years of experience building and deploying machine learning or computer vision systems in production environments.
Posting language: English
Posted: Mar 7, 2026

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Original job description

Archived listing. The details below describe a past opening.

Remote/Hybrid

Remote - United States

Remote - Washington

Austin, Texas, United States of America

Sunnyvale, California, United States of America

San Francisco, California, United States of America

Warren, Michigan, United States of America

Full time

JR-202602984

Job Description

Our Mapping organization is building national-scale, next-generation mapping systems that move beyond static HD maps toward automated, ML-driven map reconstruction pipelines powered by onboard sensor data. These systems form a critical foundation for localization, perception, simulation, and autonomy at scale.

The Role

We are looking for a Staff Machine Learning Engineer to serve as a technical leader for automated map reconstruction within our Mapping Engineering team.

In this role, you will architect and deliver end-to-end ML and computer vision pipelines that reconstruct, validate, and maintain map primitives (e.g., lanes, boundaries, traffic controls, signs) from large-scale sensor data. Your work will directly power next-generation maps that operate reliably across national deployments and evolving road conditions.

This is a hands-on technical leadership role. You will operate with high autonomy, define technical strategy in ambiguous problem spaces, and lead cross-functional efforts spanning Mapping, Perception, Localization, Simulation, and Infrastructure. You will also mentor senior engineers and help raise the ML and CV bar across the organization.

What You’ll Do (Responsibilities)

Architect and lead ML-driven map reconstruction systems that operate at national scale using multi-modal sensor data (camera, lidar, radar, vehicle signals).
Design and implement end-to-end pipelines for offline map reconstruction, including data mining, labeling strategies, model training, evaluation, and production deployment.
Define technical strategy and system architecture for next-generation mapping capabilities, balancing ML innovation with robustness, safety, and operational scalability.
Lead the development and adoption of state-of-the-art computer vision and ML techniques (e.g., detection, segmentation, 3D reconstruction, BEV representations) applied to mapping problems.
Own cross-functional technical initiatives, working closely with Perception, Localization, Simulation, and Platform teams to define interfaces, data contracts, and integration points.
Drive technical excellence through design reviews, mentorship, and technical guidance for senior and staff-level engineers across teams.
Diagnose and resolve system-level issues across data pipelines, ML models, and production workflows.
Serve as a Subject Matter Expert (SME) for ML-based mapping and reconstruction within Mapping and across the AV organization.
Contribute to technical roadmaps, hiring, and capability building for ML and CV expertise within the Mapping org.

Minimum Qualifications (Must-Have)

5+ years of experience building and deploying machine learning or computer vision systems in production environments.
Strong foundation in computer vision, machine learning, or robotics, with hands-on experience designing and training ML models.
Proficiency in Python for ML development; familiarity with C++ or other systems languages is a plus.
Experience building large-scale data pipelines for ML, including dataset curation, labeling workflows, training, and evaluation.
Proven ability to lead complex, cross-functional technical initiatives with high autonomy and influence.
BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related technical field, or equivalent industry experience.
Strong systems thinking - ability to reason about end-to-end ML systems, not just individual models.

Preferred Qualifications (Nice-to-Have)

Experience with mapping, localization, perception, or robotics systems, particularly in autonomous driving or mobile robotics.
Hands-on experience with 3D perception, BEV representations, or multi-view geometry.
Familiarity with AV sensor data (camera, lidar, radar) and real-world data challenges (noise, drift, long-tail scenarios).
Experience deploying ML models into production pipelines with monitoring, validation, and iteration loops.
Exposure to simulation-based validation, synthetic data, or map change detection workflows.
Experience mentoring senior engineers or acting as a technical lead across multiple teams.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.

The salary range for this role: is $185,100 to $335,300. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (https://search-careers.gm.com/en/working-at-gm/total-rewards) .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (https://search-careers.gm.com/en/how-we-hire) .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (https://search-careers.gm.com/en/working-at-gm/)

Our Culture

How we hire (https://search-careers.gm.com/en/how-we-hire/)

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (https://search-careers.gm.com/en/locations/)

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM’s Talent Community (avature.net) (https://generalmotors.avature.net/en_US/TalentCommunity/Register) . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click “Apply Now” on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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