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 embarking on a new era fueled by AI and is searching for a remarkable Automotive Performance Senior Software Engineer to join its energetic team. In this role, you will participate in groundbreaking projects that drive technology and innovation forward, working on performance solutions in the automotive industry.
Responsibilities
- 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.
- 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
- Eligible for equity and benefits (see www.nvidia.com/en-us/benefits/).
More jobs at Nvidia
Senior System Software Engineer, Interactive World Models
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Engineer – Streaming
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
System Software Engineer - GeForce Now Low Latency Streaming
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
Gpu Architecture Engineer - New College Grad 2026
Nvidia · Santa Clara, United States
USD 124,000-241,500 per year
Compiler Engineer, Infrastructure - New College Grad 2026
Nvidia · Santa Clara, United States
USD 108,000-195,500 per year
Similar jobs
System Performance Engineer, Consumer Devices
OpenAI · San Francisco, United States
USD 293,000-325,000 per year
Systems Generalist, GPT Infrastructure
OpenAI · San Francisco, United States, Seattle, United States
USD 293,000-445,000 per year
Senior Software Engineer - Autonomous Driving
Nvidia · Santa Clara, United States
USD 224,000-356,500 per year
Principal System Software Engineer - Av Platform
Nvidia · Santa Clara, United States
USD 272,000-431,200 per year
Senior Data Center Performance Engineer - Benchmarking and Optimization
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Staff+ Software Engineer, Capacity Engineering
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-485,000 per year
Threat Intel Manager, Cbrn-E & Advanced Weapons
Anthropic · Washington, United States, New York City, United States, San Francisco, United States
USD 375,000-455,000 per year
Platform Security Engineer, OpenBMC
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 320,000-405,000 per year