General Motors

Staff AI/ML Engineer - Future Sensing, Embodied AI

General Motors • $189K — $320K *
Sunnyvale, CA 94087Hybrid
Aerospace & Defense
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's, Master's, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
  • 5-7 years of experience building and scaling AI/ML systems for perception or autonomy
  • Hands-on experience with deep learning frameworks like PyTorch and proficiency in Python
  • Experience with model training pipelines and large-scale data workflows
  • Strong data processing skills using tools such as NumPy and Apache Spark
  • Proven experience in multi-modal sensor fusion and perception pipelines
  • Strong communication skills for effective collaboration across engineering teams

Responsibilities

  • Design and implement AI/ML solutions for autonomous driving
  • Lead technical studies across sensor selection and multi-modal sensor fusion
  • Architect and evaluate perception models for various applications
  • Define robust model-level and system-level performance metrics
  • Drive model development across the entire lifecycle from training to optimization
  • Collaborate with simulation teams on data and sensor model requirements
  • Translate architecture questions into concrete experiments and recommendations
  • Build infrastructure for efficient data processing and model iteration
  • Support and mentor engineers through collaboration and code reviews

Benefits

  • Comprehensive health and wellness programs including medical, dental, and vision coverage
  • Retirement savings plan with options for a Health Savings Account
  • Generous paid vacation, holidays, and sick leave
  • Tuition assistance programs for continued education
  • Employee discounts on GM vehicles and participation in company vehicle evaluation program
  • Potential for relocation benefits and flexible working arrangements
Full Job Description
Job Description

As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributor driving end-to-end technical work that informs next-generation sensing architecture decisions. You will help define and evaluate machine learning and perception solutions that directly impact autonomous driving performance, with emphasis on future sensing architectures, multi-modal sensor fusion, system integration, and the technical evidence required to support sensor and compute decisions.

In this role, you will partner closely with cross-functional engineering teams, contribute to core technical direction within your domain, and support the growth of engineers through technical collaboration and mentorship. You will help translate research into scalable onboard ML and perception solutions while contributing to the continuous improvement of GM's autonomy stack and sensing strategy.

What You'll Do

  • Design and implement AI/ML solutions aligned with GM's autonomous driving and future sensing objectives


  • Lead end-to-end technical studies across sensor selection, sensor configuration, sensor placement, and multi-modal sensor fusion using cameras, lidar, radar, and related sensing modalities


  • Architect and evaluate perception models and pipelines for detection, reconstruction, tracking, localization support, semantic labeling, and uncertainty estimation


  • Drive definition of robust model-level and system-level metrics used to compare sensor configurations, quantify subsystem differences, and evaluate performance parity relative to existing architectures


  • Lead model development efforts spanning data curation, training, validation, performance optimization, debugging, and deployment-oriented analysis


  • Partner with simulation teams to define synthetic-data and sensor-model requirements needed to evaluate future sensing concepts under adverse weather, sensor noise, occlusions, clutter, and near-field versus long-range scenarios


  • Drive system integration thinking across sensing, calibration, compute, software architecture, and vehicle constraints


  • Translate ambiguous architecture questions into concrete experiments, technical recommendations, and clear go / no-go evidence packages


  • Design and build efficient infrastructure, pipelines, and tooling to support large-scale data processing, model training, evaluation, and rapid iteration across teams


  • Drive technical execution from prototyping through integration and readiness for production adoption, documenting learnings and best practices


  • Support and mentor engineers through technical collaboration and code reviews, fostering knowledge sharing and engineering excellence.


Your Skills & Abilities

  • Bachelor's, Master's, or PhD in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field


  • Strong experience building and scaling AI/ML systems for perception, autonomy, robotics, or related real-world systems


  • Deep hands-on experience with modern deep learning frameworks such as PyTorch and strong proficiency in Python


  • Experience working with model training pipelines, large-scale data workflows, and infrastructure enabling efficient model iteration across teams


  • Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark


  • Strong experience with model validation, debugging, performance optimization, and error analysis under real-world constraints and timelines


  • Strong experience with multi-modal sensor fusion and perception pipelines using cameras, radar, lidar, or related sensing modalities


  • Experience defining metrics and evaluation methodologies for perception or autonomy systems


  • Strong communication skills enabling effective collaboration across engineering teams


  • Experience deploying or preparing ML models for production environments and understanding end-to-end deployment workflows.


Preferred Qualifications

  • Experience in robotics or autonomous driving systems


  • Experience with architecting perception or sensory systems for automotive, robotics, or safety-critical platforms


  • Experience with system integration across sensors, calibration, compute, and onboard software pipelines


  • Experience with simulation, synthetic data, and sim-to-road evaluation workflows


  • Technical leadership experience including mentoring engineers and shaping major workstreams from concept to execution.


Remote/Hybrid: This role is categorized as fully remote or hybrid.

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 the California Bay Area.
  • The salary range for this role is $189,300.00 to $320,700.00. 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.

Relocation: This job may be eligible for relocation benefits.

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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.

General Motors Careers

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.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

Join Our Global Team

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.

Internship Programs and Employment Benefits

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.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
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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