GE Staff AI / ML Engineer - Future Sensing, Embodied AI Generalmotors · Remote · US · Machine Learning Engineering $189,300-$320,700 4mo ago

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We’returningtoday’simpossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale. Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributordrivingend-to-end technical work that informs next-generation sensing architecture decisions. You will help define and evaluate machine learning andperceptionsolutions that directlyimpactautonomous driving performance, with emphasis on future sensing architectures, multi-modal sensor fusion, system integration, and the technical evidencerequiredto 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 andperceptionsolutions 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 evaluateperceptionmodels 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 parityrelativeto 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, documentinglearningsand 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 forperception, autonomy, robotics, or related real-world systems

• Deep hands-on experience with modern deep learning frameworks such asPyTorchand strongproficiencyin 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 andperceptionpipelines using cameras, radar, lidar, or related sensing modalities

• Experience defining metrics and evaluation methodologies forperceptionor autonomy systems

• Strong communicationskills 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 paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside 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 incentivepayprogram 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, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

Company Vehicle

Upon successful completion of a motor vehicle report review, you will be eligible toparticipatein a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/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.

#GM-AV-1

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.