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NVIDIA

Senior System Software Engineer, Automotive Performance

NVIDIA

Senior engineer optimizing NVIDIA automotive system software and performance platforms. Benchmarking Safe RTOS, hypervisors, ARM systems, and Tegra-based ADAS/AV stacks.

Posted 8/7/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $224,000 - $431,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in optimizing system software for automotive performance platforms, with a strong focus on benchmarking, performance improvements, and collaboration across multidisciplinary teams. Proficient in C/C++, Linux, and QNX, with a solid understanding of hypervisors and AI/ML applications in automotive profiling tools.

Highest-signal resume keywords
C/C++ ProgrammingLinux ProficiencyQNX ProficiencyBenchmarking ExpertiseAI/ML Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
System Software OptimizationBoot Time OptimizationRuntime Performance ImprovementHypervisor KnowledgeVirtualizationOverhead AnalysisProfiling UtilitiesCompiler OptimizationsAutomotive Performance PlatformsMicro Benchmarking
Tools & Technologies
Safe RTOSTegra PlatformsAutomotive Profiling Tools
Certifications & Qualifications
Master’s Degree in Computer ScienceMaster’s Degree in Engineering
Industry Keywords
Automotive SectorADASAVPerformance Benchmarks

Tech Stack

Tools & technologies
AndroidLinuxRTOS

About the role

Key responsibilities & impact
  • Optimize system software for NVIDIA automotive performance platforms with Safe RTOS
  • Collaborate with Hardware Architecture, DriveOS, Power, and Test teams to track boot and runtime performance benchmarks
  • Supervise micro benchmarks and industry-standard benchmarks across IPs
  • Develop innovative features in automotive profiling tools with AI assistance
  • Benchmark the hypervisor and minimize overhead on ARM systems
  • Collaborate with the ADAS/AV team to optimize the next-generation NVIDIA stack on Tegra platforms

Requirements

What you’ll need
  • Master’s degree in computer science, Engineering, or a related field, or equivalent experience
  • Minimum 12 years of proven experience in systems or software performance
  • Solid C/C++ programming abilities
  • Previous experience in the automotive sector
  • Proficiency in Linux and QNX
  • Knowledge of Android is advantageous but not mandatory
  • Understanding of benchmarking, boot time optimization, compiler optimizations, and runtime performance improvements
  • Knowledge of hypervisors, virtualization, and overhead analysis
  • Experience with profiling utilities to improve system software efficiency
  • AI/ML experience is highly desirable

Benefits

Comp & perks
  • Competitive salaries
  • Comprehensive benefits package
  • Equity
  • Benefits for employees and their families