Staff AI/ML Engineer - Future Sensing, Embodied AI

General Motors; New York (NY); Hybrid; USD 189,300 - 320,700; Full time

Benefits offered by this job

Health Savings Account

Flexible Spending Accounts

Tuition assistance

GM vehicle discounts

Job summary

General Motors is seeking a Staff AI/ML Future Sensing Engineer to design and implement machine learning solutions for autonomous driving. This role involves leading technical studies across multi-modal sensor fusion and collaborating on model evaluation and deployment.

The ideal candidate will possess a degree in Computer Science or similar, and have significant experience in building AI/ML systems. This position is eligible for remote or hybrid work arrangements, with a competitive salary and comprehensive benefits.

Qualifications

• Strong experience building and scaling AI/ML systems for perception, autonomy, robotics or related real-world systems.
• Expertise in model validation, debugging, performance optimization and error analysis under real-world constraints.
• Hands-on experience with multi-modal sensor fusion and perception pipelines.

Responsibilities

• Design and implement AI/ML solutions for autonomous driving objectives.
• Lead technical studies across sensor selection and multi-modal sensor fusion.
• Mentor engineers through collaboration and code reviews.

Skills

Python

Deep learning frameworks

AI/ML systems

Data processing

Multi-modal sensor fusion

Model validation

Education

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

Tools

PyTorch

NumPy

Pandas

Apache Spark

Job description

Job Overview

At General Motors, our product teams are redefining mobility through a human‑centered design process that creates vehicles and experiences designed to be seen and felt. We turn today’s impossible 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 people as we aim to make driving 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 as a Staff AI/ML Future Sensing Engineer to develop and deploy machine learning solutions that support safe and reliable autonomous vehicle behavior across real‑world scenarios.

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, configuration and placement, and multi‑modal sensor fusion using cameras, LiDAR, radar and related modalities.
• Architect and evaluate perception models and pipelines for detection, reconstruction, tracking, localization support, semantic labeling and uncertainty estimation.
• Define robust model‑level and system‑level metrics to compare sensor configurations and quantify subsystem differences against existing architectures.
• Develop models from data curation and training through validation, performance optimization, debugging and deployment‑oriented analysis.
• Collaborate with simulation teams to define synthetic‑data and sensor‑model requirements for evaluating future sensing concepts under adverse weather, sensor noise, occlusion, clutter and distance scenarios.
• Drive system integration across sensing, calibration, compute, software architecture and vehicle constraints.
• Translate ambiguous architecture questions into concrete experiments, recommendations and go/no‑go evidence packages.
• Build efficient infrastructure, pipelines and tooling to support large‑scale data processing, model training, evaluation and rapid iteration across teams.
• Guide technical execution from prototyping to integration and production readiness, documenting learnings and best practices.
• 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.
• Proficiency in Python and modern deep learning frameworks such as PyTorch.
• Experience with model training pipelines, large‑scale data workflows and infrastructure enabling efficient model iteration.
• Strong data processing skills using NumPy, Pandas and Apache Spark.
• Expertise in model validation, debugging, performance optimization and error analysis under real‑world constraints.
• Hands‑on experience with multi‑modal sensor fusion and perception pipelines (camera, radar, LiDAR or related modalities).
• Experience defining metrics and evaluation methodologies for perception or autonomy systems.
• Strong communication skills for 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 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.

Location & Remote Options

This role is categorized as fully remote or hybrid.

Compensation

Salary range: $189,300.00 to $320,700.00 (actual base salary will vary based on the position). Bonus potential is available through an incentive pay program based on company performance, job level and individual performance.

Benefits

GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation and holidays, tuition assistance, employee assistance program and GM vehicle discounts.

Company Vehicle

Upon successful completion of a vehicle report review, eligible employees may participate in a company vehicle evaluation program. Participants are required to purchase or lease a qualifying GM vehicle every four years unless an exception applies.

Relocation

This job may be eligible for relocation benefits.

Equal Employment Opportunity

General Motors is committed to an inclusive workplace free of unlawful discrimination. All employment decisions are made on a non‑discriminatory basis without regard to sex, race, color, national origin, citizenship, religion, age, disability, pregnancy, sexual orientation, gender identity, veteran status or any other protected status in accordance with federal, state and local laws.