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 @ 4
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 and contribute to projects involving system software optimization, AI-driven profiling, and next-generation automotive platforms.
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.
- Supervise microbenchmarks 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.
- 5+ years of experience in systems or software performance.
- Strong C/C++ programming skills and prior experience in the automotive sector.
- Proficiency with Linux and QNX.
- Knowledge of Android is advantageous but not required.
- Strong understanding of benchmarking, boot-time optimization, compiler optimizations, and runtime performance improvements.
- Knowledge of hypervisors, virtualization, and overhead analysis.
- Experience with profiling utilities for improving system software efficiency.
- AI/ML experience is highly desirable.
Benefits
- Competitive base salary based on location, experience, and compensation for similar positions.
- Base salary range of USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4.
- Equity and benefits.
- Inclusive and supportive work environment.
Applications will be accepted at least until October 27, 2026. NVIDIA is an equal opportunity employer.
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