Senior System Performance Engineer

What You’ll Be Doing (Responsibilities)

• Collaborate with performance leads and partner engineering teams to align on performance requirements, development practices, and improvement opportunities.
• Lead performance-focused engineering initiatives with moderate ambiguity and cross-team collaboration.
• Contribute to the roadmap for performance tooling, frameworks, and methodologies that support efficient and scalable AV software development.
• Evaluate and prototype new tools, techniques, and technologies to improve runtime performance and developer workflows.
• Design, implement, and maintain tools and automated systems that support performance analysis, debugging, and continuous monitoring.
• Apply and help improve performance engineering standards, processes, and best practices at the team level.
• Analyze software behavior, identify performance bottlenecks, and collaborate with product teams to propose and implement optimizations.
• Mentor junior engineers on performance profiling, optimization strategies, and engineering best practices.

Your Skills & Abilities (Required Qualifications)

• Minimum 3+ years of relevant industry experience.
• Hands-on programming experience with C++ and Python.
• Strong understanding of computer architecture and system-level software fundamentals.
• Promising experience with performance profiling, analysis, tuning, and optimization.
• Experience developing or optimizing high-performance software, ideally for heterogeneous compute environments (e.g., GPUs, DSPs, or accelerators).
• Familiarity with industry benchmarks and workloads (e.g., MLPerf).
• Strong communication skills with the ability to influence technical decisions within a team or product area.
• Ability to lead projects through ambiguity and deliver results end to end.
• Bachelor's or Master's degree in Computer Science or a related technical field (or equivalent practical experience).

Your Skills & Abilities (Preferred Qualifications)

• Knowledge of GPU performance, OS/driver internals, or systems-level software stacks.
• Experience with AI/ML applications or inference software.
• Background with real-time operating systems.
• Experience developing or optimizing software for safety critical systems.

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 $128,700 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.

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.