Staff AI/ML Engineer - Future Sensing, Embodied AI

General Motors; California (MO); Hybrid; USD 189,300 - 320,700; Full time

Benefits offered by this job

Health insurance

Flexible Spending Accounts

Tuition assistance programs

GM vehicle discounts

Job summary

General Motors is seeking a Staff AI/ML Future Sensing Engineer to drive technical work in autonomous driving. This role involves designing AI/ML solutions, leading sensor studies, and partnering with engineering teams to enhance GM's autonomous capabilities.

The ideal candidate will have a strong background in AI/ML systems, proficiency in Python and deep learning frameworks, and excellent communication skills. This position offers the flexibility of remote or hybrid work arrangements.

Competitive compensation includes a salary range of $189,300 to $320,700, along with various health benefits and performance-based bonuses.

Qualifications

• Strong experience in building and scaling AI/ML systems.
• Deep hands-on experience with modern deep learning frameworks.
• Experience working with model training pipelines.

Responsibilities

• Design and implement AI/ML solutions for autonomous driving.
• Lead studies across sensor selection and configuration.
• Drive technical execution from prototyping to production readiness.

Skills

Building AI/ML systems for perception

Deep learning frameworks (PyTorch)

Model validation and debugging

Multi-modal sensor fusion

Strong communication skills

Education

Bachelor's, Master's, or PhD in Computer Science, Robotics, or related field

Tools

Python

NumPy

Pandas

Apache Spark

Job description

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’re turning 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. Whether you’re passionate about accelerating the future of autonomous driving, or eager to build the machine‑learning solutions that support safe and reliable autonomous vehicle behavior across real‑world scenarios, we want you on the Embodied AI team.

Position Overview

As a Staff AI/ML Future Sensing Engineer in the Embodied AI organization, you will serve as a senior individual contributor driving end‑to‑end technical work that informs next‑generation sensing architecture decisions. You will help define and evaluate machine learning and perception solutions that directly impact autonomous driving performance, with emphasis on future sensing architectures, multi‑modal sensor fusion, system integration, and the technical evidence required to 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 collaboration and mentorship. You will help translate research into scalable onboard ML and perception solutions 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, configuration, 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 used to compare sensor configurations, quantify subsystem differences, and evaluate performance parity relative to 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, documenting learnings and 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 for perception, autonomy, robotics, or related real‑world systems.
• Deep hands‑on experience with modern deep learning frameworks such as PyTorch and strong proficiency in Python.
• Experience working with model training pipelines, large‑scale data workflows, and infrastructure enabling efficient model iteration across teams.
• Strong data processing skills using 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 and perception pipelines using cameras, radar, lidar, or related sensing modalities.
• Experience defining metrics and evaluation methodologies for perception or autonomy systems.
• Strong communication skills 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

• Salary range: $189,300.00 to $320,700.00. The base salary 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, including 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.

Company Vehicle

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. 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 providing an inclusive workplace. 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, veteran status, or any other protected status in accordance with federal, state, and local laws.

Accommodations

General Motors offers opportunities to all job seekers, including individuals with disabilities. If you need a reasonable accommodation during the job search or application process, please e‑mail us or call 1‑800‑865‑7580 and include a description of the accommodation requested as well as the job title and requisition number.