Senior System Software Engineer - Av Platform

at Nvidia

USD 184,000-356,500 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.

Algorithms Communication @ 4 Computer Vision @ 4 GPU @ 3 Linux @ 4 Performance Optimization @ 7 Python @ 6 Robotics @ 4 System Architecture @ 7

Integrating sensors into our AV driving software stack.
Develop and improve startup user experience of our AV stack.
Work on areas such as sensor abstraction layers, data processing & performance optimization, data serialization, and service frameworks.
Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams.

BS or MS degree in Computer Science, Electrical Engineering, or related field (or equivalent experience).
8+ years of professional experience working on system software.
Excellent programming skills in C++, C and Python.
Familiarity with source control tools.
Solid understanding of Linux, QNX, ROS, and/or real-time operating systems.
Experience in developing user-space system software, with a willingness to delve into kernel-space and/or low-level hardware when needed.
Knowledge about embedded system programming, threading, mutex, synchronization, communication, and parallel computing to build highly-scalable and efficient applications.
Familiarity with hardware architecture for CPU/GPU and memory alongside performance.
Prior experience working in the following areas: Autonomous Vehicles, Robotics, Self-Driving-Cars, GPU technology, Embedded Systems, Computer Vision.

Deep understanding of system architecture, CPU/GPU/Memory/Storage, everything related to performance optimization.
Experience in Autonomous Vehicle or Robotic System Building.
Hands-on experience in embedded development, operating systems and real-time software.