General Motors

Staff ML Engineer - Embodied AI Onboard Autonomy

General Motors • $180K — $280K *
Sunnyvale, CA 94087Hybrid
Manufacturing & Automotive
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or related field.
  • 4+ years of experience with large-scale Foundation Models, including LLMs and vision-focused models.
  • Extensive experience in developing and deploying advanced ML systems for real-time onboard applications.
  • Proven track record in developing robust deep learning models for safety-critical systems.
  • Deep expertise in computer vision techniques, real-time inference, and model optimization under uncertainty.
  • Strong proficiency in Python and C++, with experience in modern ML frameworks like PyTorch and TensorFlow.
  • Excellent communication and mentoring abilities, with a focus on influencing technical strategy.

Responsibilities

  • Drive design, development, and deployment of advanced onboard ML models for real-time autonomous driving.
  • Lead and architect complex machine learning projects from conception to onboard implementation.
  • Champion innovation in neural network architectures and inference optimization strategies.
  • Provide technical mentorship and elevate engineering practices for ML innovation.
  • Collaborate with multidisciplinary teams to integrate ML capabilities into autonomous systems.
  • Influence technical roadmaps and align ML priorities with business objectives.

Benefits

  • Hybrid work model, requiring in-person presence three times a week.
  • Possible relocation benefits available.
  • Opportunity to evaluate a company vehicle as part of a vehicle evaluation program.
Full Job Description

Job Description

As a Staff AI/ML Engineer within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models that translate raw sensor data into actionable driving behaviors, enabling vehicles to robustly navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities. 

The Onboard Embodied AI team is at the forefront of developing groundbreaking onboard ML systems powering fully autonomous vehicles. We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art alignment approaches. Our solutions enable vehicles to understand complex, dynamic driving environments, handle uncertainty gracefully, and adapt seamlessly to changing conditions. Join a collaborative and innovative team redefining autonomy through state-of-the-art machine learning, delivering solutions that move beyond current technological boundaries. 

Key Responsibilities:  

  • Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance. 

  • Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation. 

  • Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment. 

  • Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams. 

  • Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems. 

  • Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones. 

Your Skills & Abilities:  

  • Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field. 

  • 4+ years of experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models. 

  • Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications. 

  • Proven track record as a technical expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems. 

  • Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty.  

  • Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX). 

  • Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization.

  • AV/ADAS experience is a big plus

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 $180,000 to $280,000. 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.

Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. 

Relocation: This job may be eligible for relocation benefits.

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.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

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Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

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As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

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Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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