Senior System Software Engineer, Automotive Performance

Nvidia Corporation

Multiple Locations
Base: 224,000 usd - 356,500 usd (level 5); 272,000...
On-site
System software optimization
Safe rtos
Boot & runtime performance benchmarks
NVIDIA is seeking a Senior System Software Engineer specializing in automotive performance to enhance their cutting-edge technology in the automotive sector. The ideal candidate will have extensive experience in software performance, particularly within the automotive industry, and will work collaboratively within a diverse team to innovate and optimize performance solutions

Job Summary

  • Play a key role in optimizing system software for Nvidia automotive performance platforms with Safe RTOS.
  • Collaborate closely with Hardware Architecture, DriveOS, Power, and Test teams to track key boot & runtime performance benchmarks.
  • Contribute to developing innovative features in automotive profiling tools with AI assistance.

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior System Software Engineer specializing in automotive performance to enhance their cutting-edge technology in the automotive sector. The ideal candidate will have extensive experience in software performance, particularly within the automotive industry, and will work collaboratively within a diverse team to innovate and optimize performance solutions.

Salary

Base: 224,000 USD - 356,500 USD (Level 5); 272,000 USD - 431,250 USD (Level 6); Equity and benefits eligible

Skills & Requirements

Must-have

  • System software optimization
  • Safe RTOS
  • boot & runtime performance benchmarks
  • micro benchmarks
  • industry-standard benchmarks
  • automotive profiling tools
  • hypervisor overhead analysis
  • ARM systems
  • ADAS/AV team collaboration

Nice-to-have

  • AI assistance
  • diverse, supportive environment
  • lasting impact on the world

Key Requirements

  • Master's degree or equivalent experience
  • 12 years of systems or software performance experience
  • Solid C/C++ programming
  • Automotive sector experience
  • Proficiency in Linux and QNX
  • Knowledge of hypervisors
  • Experience with profiling utilities
  • AI/ML experience highly desirable

Work Rights

Not specified

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