AI/ML Engineer - Remote

About The Company

General Motors is a global leader in automotive manufacturing and innovation, committed to shaping the future of transportation. With a vision centered around Zero Crashes, Zero Emissions, and Zero Congestion, GM strives to develop sustainable, safe, and connected mobility solutions. The company leverages cutting-edge technology, innovative design, and a dedicated workforce to deliver vehicles and experiences that meet the evolving needs of customers worldwide. GM’s focus on autonomous driving, electric vehicles, and smart mobility positions it at the forefront of the automotive industry, driving positive change and setting new standards for safety, efficiency, and environmental responsibility.

About The Role

We are seeking a highly skilled and experienced Staff AI/ML Future Sensing Engineer to join our Embodied AI organization at General Motors. This full-time position offers the flexibility of remote or hybrid work arrangements across multiple locations including Sunnyvale, California; Washington; California; and New York. As a senior individual contributor, you will play a pivotal role in advancing our autonomous driving systems by developing and deploying machine learning solutions that enhance sensing architectures and perception capabilities. Your work will directly influence the future of autonomous vehicle technology by supporting safe, reliable, and efficient perception systems that operate seamlessly across diverse real-world scenarios. You will collaborate closely with cross-functional teams, contribute to technical strategies, and mentor engineers to foster innovation and technical excellence within the organization.

Qualifications

• 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 similar real-world applications
• Proficiency in modern deep learning frameworks such as PyTorch and strong programming skills in Python
• Experience with model training pipelines, large-scale data workflows, and infrastructure for efficient model iteration
• Expertise in data processing tools such as NumPy, Pandas, and Apache Spark
• Hands-on experience with perception pipelines involving cameras, lidar, radar, or related modalities
• Ability to define and evaluate metrics for perception and autonomy systems
• Strong communication skills for effective cross-team collaboration
• Experience in deploying ML models for production environments and end-to-end deployment workflows

Preferred qualifications include experience in robotics or autonomous driving systems, system integration across sensors and compute, simulation and synthetic data workflows, and technical leadership experience including mentoring and project management.

Responsibilities

• Design and implement AI/ML solutions aligned with GM’s autonomous driving and future sensing objectives
• Lead end-to-end technical studies on sensor selection, configuration, placement, and multi-modal sensor fusion
• Architect and evaluate perception models for detection, tracking, localization, semantic labeling, and uncertainty estimation
• Develop and refine metrics to compare sensor configurations and evaluate system performance
• Lead model development efforts including data curation, training, validation, and performance optimization
• Partner with simulation teams to define synthetic data and sensor-model requirements for testing under adverse conditions
• Drive system integration considerations across sensing, calibration, compute, and vehicle constraints
• Translate architecture questions into concrete experiments, technical recommendations, and evidence packages
• Build infrastructure, pipelines, and tooling to support large-scale data processing and model iteration
• Support the technical execution from prototyping to production deployment, documenting best practices and lessons learned
• Mentor and collaborate with engineering teams to foster technical growth and knowledge sharing

Benefits

• Comprehensive health and wellbeing programs including medical, dental, and vision coverage
• Retirement savings plans and flexible spending accounts
• Paid vacation, holidays, and sick leave
• Tuition assistance and professional development opportunities
• Employee assistance programs and wellness resources
• GM vehicle discounts and potential eligibility for a company vehicle
• Relocation benefits for eligible candidates
• Incentive pay programs based on performance and company success

Equal Opportunity

General Motors is an equal opportunity employer committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, citizenship, age, disability, sexual orientation, gender identity, veteran status, or any other protected characteristic. We believe that diversity and inclusion foster innovation and drive our success. All employment decisions are made on a non-discriminatory basis, and we encourage qualified candidates from all backgrounds to apply. GM provides reasonable accommodations during the application process for individuals with disabilities.