설명
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. 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.
The Evaluation Foundations team—part of Embodied AI’s Scaling Foundations—solves critical evaluation challenges in autonomous vehicle development. We engineer high-performance tools that identify top-performing models and partner with data-intensive ML teams to drive rapid innovation.
In this role, you will develop introspection and evaluation tools capable of processing billions of examples to unlock maximum value from our large-scale datasets. Joining a high-impact team of engineers and ML scientists, you will leverage advanced AI to advance L2, L3, and L4 autonomous vehicle technology and directly shape the safety, reliability, and scalability of next-generation systems.
As a Staff Engineer, you will serve as a key individual contributor focused on measuring and visualizing AV model performance. You will collaborate across the stack and with cross-functional stakeholders to design, build, and iterate on evaluation tools used by Embodied AI and adjacent GM AV teams.
What You’ll Do
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Build and refine high-quality evaluation signal and introspection tools to shorten the experiment path toward optimal models.
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Develop and maintain visualization tools and metrics presentation within our core model evaluation loop.
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Enable ML teams to introspect model behavior and drive actionable, data-driven decisions with minimal manual intervention.
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Provide technical leadership through design and code reviews, establish evaluation tooling best practices, and collaborate closely with Data (Consumption/Mining/Quality), Infra Foundations, and Simulation/On-Road Validation teams to align offline evaluation with real-world vehicle behavior.
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Work closely with modeling and data scaling teams building our Compound AI driving models to design and implement large-scale evaluation workflows—utilizing model-based metrics, end-to-end simulation, and tooling that connects evaluation signals back to data selection, training, and launch decisions.
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Drive a cohesive evaluation flywheel: better signal → better data and training decisions → better models → better signal.
Your Skills & Abilities
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Familiarity and experience with key technologies across the stack:
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Frontend: React/TypeScript, WebGL/WebGPU (for 3D sensor visualization), Streamlit, Jupyter Notebooks
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Backend: Python, Node.js, high-throughput data streaming
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Data/Infra: Spark (for stream processing), BigQuery, Kubernetes.
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Experience shipping production software and iterating quickly in a "startup within an enterprise" environment.
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Strong communication skills and the ability to collaborate effectively with cross-functional engineering partners.
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Bachelor’s, Master’s, or PhD in Computer Science, a related technical field, or equivalent practical experience.
Preferred Qualifications:
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Previous experience in Robotics or Autonomous Driving.
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 paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.
The salary range for this role is $189,400.00 to $300,600.00. 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 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. Benefit options include 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.
Relocation: This job may be eligible for relocation benefits.
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다양성 정보
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