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
Ensure the software and hardware meet projected targets by closely supervising micro benchmarks and industry-standard benchmarks across IPs
Contribute to developing innovative features in automotive profiling tools with AI assistance
Benchmark the hypervisor and ensure the lowest overhead on ARM systems
Collaborate with the ADAS/AV team in optimizing the next-gen stack from NVIDIA on Tegra platforms.

Requirements

Master’s degree in computer science, Engineering, or a related field, or equivalent experience
A minimum of 12 years of proven experience in systems or software performance
Solid C/C++ programming abilities accompanied by previous experience in the automotive sector
Proficiency in Linux and QNX; Knowledge of Android is advantageous but not mandatory
Solid understanding of Benchmarking, boot time optimization, compiler optimizations and runtime performance improvements
Knowledge of hypervisors, virtualization, and overhead analysis
Experience working with profiling utilities to improve system software efficiency
AI/ML experience is highly desirable.

Benefits

equity
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

CC++LinuxQNXBenchmarkingboot time optimizationcompiler optimizationsruntime performance improvementshypervisorsprofiling utilities

Certifications

Master’s degree in computer scienceMaster’s degree in Engineering