AI Systems Engineer - Optimization

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.

The Role

We are seeking a Senior Engineer, AI Systems Engineering - Optimization to join our Manufacturing Technology Development team within the General Motors Research and Development organization. In this role, you will design breakthrough optimization strategies for compute, memory, and energy in robotic systems. You will experiment with neural compression, hardware-software co-design, and real-time algorithm tuning. You will collaborate with AI & Simulation to harden new AI models and with Robotics Intelligence to ensure advanced algorithms can run on constrained platforms.

What You Will Do

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  Design optimization strategies for compute, memory, and energy efficiency.

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  Experiment with neural compression and algorithm tuning.

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  Collaborate with AI & Simulation to harden AI models.

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  Ensure real-time performance on constrained platforms.

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  Develop co-design frameworks for hardware and software.

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  Contribute to system-level performance improvements.

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Your Skills & Abilities (Required Qualifications)

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  5+ years of experience in optimization for AI and robotics systems.

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  Strong background in neural compression and embedded AI.

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  Experience with hardware-software co-design.

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  Bachelor's degree in Electrical Engineering, Computer Science, or related field.

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  Proven ability to improve system performance.

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What Will Give You A Competitive Edge (Preferred Qualifications)

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  Master's or PhD in AI, Robotics, or related field.

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  Experience with real-time systems and constrained platforms.

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  Track record of innovation including patents or publications.

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  Knowledge of energy-efficient computing.

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This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.

The selected candidate will be required to travel <25% for this role.

This job may be eligible for relocation benefits.

This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

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.)

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We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .

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We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

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Our Culture

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Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

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