Senior System Software Engineer - Av Platform

at Nvidia

📍 Santa Clara, United States

USD 184,000-287,500 per year

SENIOR

✅ On-site

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.

Android @ 6 CUDA @ 4 Communication @ 6 Debugging @ 7 Git @ 4 Linux @ 6 OpenCL @ 4 OpenGL

Design and optimize software architectures and frameworks to deliver real-world performance that meets or exceeds customer specifications.
Develop high-efficiency product code in C++ using CUDA for GPGPU algorithmic parallelism, adhering to MISRA safety and quality standards.
Collaborate with vendors on the design and integration of innovative vehicular sensors.
Build sensor drivers, plug-ins, and core data processing components.
Create highly optimized tools for sensor data recording, playback, and visualization.
Partner with control and vehicle teams to build self-driving interfaces.
Perform in-vehicle testing, collect field data, and analyze data integrity.
Support comprehensive data collection campaigns across the autonomous vehicle program.

BS or MS degree in Computer Engineering, Computer Science or related field (or equivalent experience).
Excellent C and C++ programming skills.
8+ years of proven experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
Background on Linux, Android, and/or other real-time operating systems.
Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GPS.
Experience with vehicle control interfaces.
Thrive on writing low latency, highly performant code.
Great communication and analytical skills.