General Motors

Senior AI/ML Engineer - Future Sensing, Embodied AI

General Motors • $182K — $250K *
Sunnyvale, CA 94087Hybrid
Manufacturing & Automotive
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
  • Experience applying machine learning techniques to real-world systems or large-scale datasets.
  • Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains.
  • Proficiency in PyTorch and Python.
  • Experience developing model training pipelines or large-scale data processing workflows.
  • Strong data processing skills using tools such as NumPy, Pandas, and Apache Spark.
  • Experience with model validation, debugging, and failure analysis in ML or perception settings.

Responsibilities

  • Develop and enhance AI/ML solutions to support autonomous driving and future sensing objectives.
  • Apply advanced machine learning techniques for perception tasks such as object detection and tracking.
  • Create and test perception models using various sensor technologies including cameras and lidar.
  • Incorporate research advancements into practical model implementations for real-world applications.
  • Optimize model training and validation processes while debugging performance issues.
  • Define robust performance metrics across various sensing scenarios.
  • Collaborate with cross-functional teams to integrate models into onboard systems.

Benefits

  • Medical, dental, and vision insurance
  • Health Savings Account and Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation and holidays
  • Tuition assistance and employee assistance programs
  • GM vehicle discounts
Full Job Description
Job Description

As a Senior AI/ML Future Sensing Engineer in the Embodied AI organization, you will develop and evaluate machine learning solutions contributing to future sensing architecture decisions and autonomous driving performance. You will contribute to designing and improving ML and perception models that support safe and reliable vehicle behavior across real-world scenarios, while helping connect sensing choices to measurable performance outcomes.

You will collaborate closely with senior engineers and cross-functional teams to translate research and technical concepts into production-ready or production-informing solutions while contributing to engineering best practices, technical analyses, and delivery execution.

What You'll Do

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


  • Apply techniques such as unsupervised pre-training, imitation learning, reinforcement learning, model scaling and selection, and foundation modeling to solve problems in object detection, tracking, classification, perception, and safe AI


  • Develop and evaluate perception models and components for sensing studies involving cameras, lidar, radar, and multi-modal sensor fusion


  • Implement and evaluate models, incorporating research advancements into practical applications


  • Contribute to model training, fine-tuning, validation, debugging, and performance optimization for perception and sensor-fusion tasks


  • Help define and implement robust metrics for detection, reconstruction, localization support, semantic labeling, and model robustness under varied environmental conditions


  • Work with real and synthetic data to evaluate sensing tradeoffs across weather, lighting, occlusion, sensor noise, clutter, and near-field versus long-range scenarios


  • Contribute to production pipelines and technical workflows spanning data loading, model evaluation, error analysis, and deployment-oriented support


  • Collaborate with cross-functional teams to integrate models and algorithms into onboard driving systems and future sensing evaluation workflows


  • Participate in code reviews, documentation, and technical discussions to support engineering quality and knowledge sharing.


Your Skills & Abilities

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


  • Experience applying machine learning techniques to real-world systems or large-scale datasets


  • Experience building AI/ML or perception systems in autonomy, robotics, computer vision, or related domains


  • Proficiency in PyTorch and Python


  • Experience working with model training pipelines or large-scale data processing workflows


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


  • Experience with model validation, debugging, and failure analysis in ML or perception settings


  • Experience with one or more perception domains such as object detection, segmentation, tracking, reconstruction, localization, or sensor fusion


  • Ability to collaborate effectively within cross-functional engineering teams.


Preferred Qualifications

  • Experience with perception sensors including cameras, radar, and lidar


  • Experience with multi-modal sensor fusion and system integration


  • Experience with production ML pipelines, model optimization, and performance tuning


  • Experience with simulation, synthetic data, or scenario-based evaluation


  • Experience with architecting sensory systems or contributing to sensor placement and configuration studies


  • Experience deploying ML models into production or working within production ML environments


  • Experience in automotive, robotics, or safety-critical ML applications.


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 $182,400.00 to $250,600.00. 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.

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.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

Keep Up to Date

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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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