Senior AI/ML Performance Engineer

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 skills & abilities

(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 will give you a competitive edge (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, sexual orientation, gender identity,

status as a veteran or protected veteran, or any other similarly protected

status in accordance with federal, state and local laws. 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

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more about: Our Company Our Culture How we hire Our diverse team of employees

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