About The Company

General Motors (GM) is a global leader in automotive manufacturing and innovation, committed to shaping the future of mobility through cutting-edge technology and sustainable practices. With a rich history of engineering excellence and a focus on safety, quality, and innovation, GM strives to create vehicles and solutions that enhance the lives of people around the world. Our vision is to achieve Zero Crashes, Zero Emissions, and Zero Congestion, driving meaningful change in the transportation industry. We foster an inclusive, diverse, and dynamic work environment that encourages creativity, collaboration, and continuous learning, empowering our employees to lead the transformation of mobility and make a positive impact on society.

About The Role

We are seeking a highly skilled and passionate Machine Learning Engineer to join our Smart Agents team within GM’s Autonomous Vehicles division. The successful candidate will be instrumental in developing sophisticated ML and Reinforcement Learning models that simulate realistic road user behaviors for autonomous vehicle testing and training. Your work will involve building scalable, efficient, and fault-tolerant systems that support the creation of dynamic scenarios involving vehicles, bikers, pedestrians, and other road users. Collaborating closely with cross-functional teams such as Perception, Behavior, and Safety Engineers, you will contribute to advancing GM’s autonomous driving capabilities, particularly in simulation environments that mimic real-world complexities. This role offers an exciting opportunity to influence the future of self-driving technology and contribute to safer, smarter transportation solutions.

Qualifications

• 4+ years of experience in robotics, autonomous systems, or latency-sensitive backend services
• Proficiency in programming languages such as modern C++ and Python
• Hands-on experience with machine learning frameworks like TensorFlow or PyTorch
• Strong background in developing and deploying ML models, especially in perception, prediction, or autonomous vehicle contexts
• Experience with building high-performance ML and system pipelines
• Knowledge of profiling CPU/GPU software, process scheduling, and system optimization
• Familiarity with reinforcement learning, sequence prediction, and simulation environments
• Ability to design scalable, fault-tolerant architectures that are easily extensible
• Excellent problem-solving skills with the ability to investigate complex technical areas and understand systems outside your core domain
• Proven track record of deploying perception, prediction, or autonomous vehicle models into real-world environments
  
  

Responsibilities

• Support the development of ML and RL models for simulating realistic road user interactions in autonomous vehicle testing environments
• Create and optimize training loops, streamlining model development and deployment processes
• Build and maintain robust ML infrastructure, including data pipelines, metrics, and deployment frameworks for rapid experimentation and production
• Collaborate with cross-functional teams to integrate models into simulation systems and autonomous vehicle platforms
• Contribute to the design of scalable and fault-tolerant system architectures that support continuous improvement and flexibility
• Profile and optimize CPU/GPU software to enhance performance and efficiency of ML models and pipelines
• Participate in technical strategy discussions, code reviews, and mentorship to foster best practices within the team
• Stay updated on emerging AI/ML technologies and incorporate innovative approaches into projects
• Work closely with Safety and Perception teams to ensure models meet safety and reliability standards for real-world deployment
  
  

Benefits

• Comprehensive health, dental, and vision insurance plans
• Retirement savings options including 401(k) plans
• Flexible Spending Accounts and Health Savings Accounts
• Paid vacation, holidays, and sick leave
• Tuition reimbursement and professional development programs
• Employee assistance programs and wellness initiatives
• GM vehicle discounts and exclusive employee offers
• Remote work flexibility with reporting requirements within specified regions
• Relocation assistance for eligible candidates
  
  

Equal Opportunity

General Motors is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that diverse perspectives and experiences drive innovation and excellence. All employment decisions are made solely based on qualifications and business needs. We encourage all qualified candidates to apply and join our mission to build a safer, smarter, and more sustainable future for mobility.