Senior System Software Engineer, Automotive Performance

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 58 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $290k

$126k most similar roles pay here $381k

This role pays more than 99% of similar roles. Most pay $151,000–$235,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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At a glance

TL;DR · Senior System Software Engineer, Automotive Performance

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As a Senior System Software Engineer, Automotive Performance, you will join an energetic team focused on developing performance solutions for the automotive industry. You will play a key role in optimizing system software for automotive performance platforms with Safe RTOS while collaborating with Hardware Architecture, DriveOS, Power, and Test teams to track boot and runtime performance benchmarks. Your daily work involves supervising micro benchmarks across IPs, developing innovative features in automotive profiling tools with AI assistance, benchmarking hypervisors on ARM systems, and optimizing the next-generation stack on Tegra platforms. To succeed, you must possess C/C++ programming skills, experience in the automotive sector, and proficiency in Linux and QNX. You will apply expertise in boot time optimization, compiler optimizations, and virtualization to improve system software efficiency while utilizing profiling utilities to meet critical performance targets.

Skills

C C++ Linux QNX Android ARM Safe RTOS Hypervisors Virtualization Benchmarking Compiler Optimization AI Tegra Profiling Tools Boot Time Optimization System Software

What you'll do

Optimize system software for Nvidia automotive performance platforms using Safe RTOS.
Track and manage boot and runtime performance benchmarks in collaboration with hardware and power teams.
Supervise micro benchmarks and industry-standard benchmarks across various IPs to ensure targets are met.
Develop innovative features for automotive profiling tools using AI assistance.
Benchmark the hypervisor to ensure minimal overhead on ARM systems.
Optimize the next-generation ADAS/AV stack on Tegra platforms.

What we're looking for

Master’s degree in computer science, Engineering, or a related field, or equivalent experience.
Minimum of 12 years of proven experience in systems or software performance.
Solid C/C++ programming abilities with previous experience in the automotive sector.
Proficiency in Linux and QNX.
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 (preferred).