Senior System Performance Engineer

General Motors Australia & New Zealand

Base: $128,700 to $261,300; bonus: incentive pyy p...
Fully remote
C++ and python programming experience
Performance profiling and optimization skills
Computer architecture and system-level fundamentals
General Motors Australia & New Zealand is seeking a Senior System Performance Engineer to join their Autonomous Vehicle (AV) System Performance Team. The role involves designing and optimizing high-performance software components for AV systems, with a focus on performance analysis and tooling development

Job Summary

  • This role involves designing and optimizing software components within General Motors' Autonomous Vehicle software stack to meet real-time performance requirements.
  • The position requires leading performance-focused engineering initiatives and mentoring junior engineers on profiling and optimization strategies.
  • General Motors offers a comprehensive benefits package including health insurance, retirement savings, paid vacation, and vehicle discounts.

Matching Summary

Match Score: 85

General Motors Australia & New Zealand is seeking a Senior System Performance Engineer to join their Autonomous Vehicle (AV) System Performance Team. The role involves designing and optimizing high-performance software components for AV systems, with a focus on performance analysis and tooling development.

Salary

Base: $128,700 to $261,300; Bonus: Incentive pay program based on company and individual performance; Benefits: Medical, dental, vision, retirement plan, tuition assistance, and GM vehicle discounts

Skills & Requirements

Must-have

  • C++ and Python programming experience
  • Performance profiling and optimization skills
  • Computer architecture and system-level fundamentals
  • Experience with heterogeneous compute environments
  • 3+ years of relevant industry experience

Nice-to-have

  • Knowledge of GPU performance and OS internals
  • Experience with AI/ML inference software
  • Background in real-time operating systems
  • Optimization experience for safety-critical systems
  • Familiarity with MLPerf benchmarks

Key Requirements

  • Minimum 3+ years of relevant industry experience
  • BS or MS in Computer Science or related field
  • Hands-on programming experience with C++ and Python

Work Rights

Not specified

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