Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
Android @ 6
Linux @ 6
Machine Learning
Profiling @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Software Engineer to join its automotive performance team. You will work on groundbreaking projects involving AI, accelerated computing, and automotive technology, contributing to performance solutions for the automotive industry.
Responsibilities
- 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.
- Monitor micro benchmarks and industry-standard benchmarks across IPs to ensure software and hardware meet projected targets.
- 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 NVIDIA's next-generation stack on Tegra platforms.
Requirements
- Master's degree in computer science, engineering, or a related field, or equivalent experience.
- At least 12 years of experience in systems or software performance.
- Strong C/C++ programming skills and previous automotive-sector experience.
- Proficiency in Linux and QNX; Android knowledge is advantageous.
- Strong 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
- Base salary range of USD 224,000–356,500 for Level 5 or USD 272,000–431,250 for Level 6, based on location, experience, and pay for similar positions.
- Equity and benefits.
- NVIDIA offers a comprehensive benefits package.
Applications will be accepted at least until August 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
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