Senior AI/ML Performance Engineer

About this role

Job Description About Us :  

The AV Infrastructure org provides developer environments, cloud infrastructure, and ML/AI GPU platforms for AV   research and   development   teams to build, test, and run faster   in GM .  

The Role :  

GM is looking for a   Senior   Performance   Engineer to join the AV Capacity and Performance Engineering team   in the AV   Infrastructure org   to support our critical efforts in developing autonomous vehicles .    The mission of the AVCPE team is to provide input into large scale ML infrastructure strategy, advise on key decisions affecting our cloud budget,   identify   and execute optimization projects, and provide capacity planning and engineering   expertise   to support GM’s efforts in developing autonomous vehicles (AV).    

What   you’ll   be doing   ( Responsibilities )  

• Strategic Infrastructure Development:   Adopt and run AV   models to   support GM’s long-term GPU system strategy and "evergreen" infrastructure roadmap.  

• Performance Optimization:   Conduct deep-dive analyses of production workloads to   identify   bottlenecks and propose high-impact optimization strategies.  

• Cross-Functional Collaboration:   Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.  

• Proactive System Scaling:   Identify   opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.  

Your   s kills &   a bilities (Required Qualifications)          

• Experience:   5+ years of professional experience in high-scale infrastructure or ML systems.  

• Education:   Bachelor’s Degree in Computer Science , a related technical field, or equivalent practical experience.  

• Software Proficiency:   Expert-level coding skills in   Python   and the ability to architect/debug within the   PyTorch   ecosystem.  

• Systems Engineering:   Proven   track record   of resolving performance issues within large-scale distributed production environments.  

• Architectural Knowledge:   Deep understanding of distributed systems, specifically modern ML system design and high-performance computing (HPC).  

• Containerization:   Hands-on experience with   Kubernetes   for orchestrating complex workloads.  

• GPU Monitoring:   Technical   proficiency   with   Nvidia DCGM ,   nvidia-smi , and   Grafana   for real-time telemetry and observability.  

• Cloud Platforms:   Extensive experience working within major cloud ecosystems ( AWS, GCP, or Azure ).  

•  

What   w ill   g ive   y ou   a   c ompetitive   e dge (Preferred Qualifications)          

• Advanced Experience:   8+ years of relevant industry experience.  

• Hardware Expertise:   Working knowledge of Enterprise-grade Nvidia GPU architectures, including   H100, B200, and GB200 .  

• Model Deployment:   Experience deploying and scaling open-source models via the   Hugging Face   ecosystem.  

• Data Analytics:   Proficiency   in   BigQuery   for large-scale data analysis and reporting.  

• Profiling Tools:   Practical experience utilizing   Nvidia Nsight   and   Nsight Compute   for kernel-level performance tuning.  

• Soft Skills:   Strong technical communication skills with the ability to translate complex infrastructure needs into actionable business insights.  

Hybrid:   This role is categorized as  Hybrid . This means the successful candidate is expected to report to   Sunnyvale Technical Center   at   minimum   three days per week or at the hiring   manager ’ s   discretion. Ability to sit remote in Seattle, WA until office opens.

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 New York, Colorado, California, or Washington.    

• The salary range for this role:   is  $144,700 to $261,300 . 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.  





 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, sexu

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