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 @ 4
Communication @ 4
Computer Vision @ 7
Debugging @ 7
GPU @ 7
Git @ 6
Leadership @ 6
Linux @ 4
Python @ 6
- 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’s Autonomous Vehicles Platforms Organization is looking for hands-on System Software Engineers to join the Autonomous Vehicles Fleet Engineering Integration team to define how autonomous vehicles are taken from concept to large scale fleet operations.
The role is visible and offers the opportunity to closely work with engineers across different facets of the core platform and AV functions that powers NVIDIA's system software stack behind autonomous vehicles.
As part of this group, you will engineer the integration of core system software with AV functions software to deliver an AV Platform to internal and external customers. The role cuts across multiple engineering groups like sensors, HMI, sensor data recorders, high speed storage solutions which form the basis for perception, planning & control, safety and sensor calibration applications delivering into the NVIDIA ADAS stack.
Responsibilities
- Participate and lead engineering collaborations with internal/external engineering leads to drive system bring ups of sophisticated vehicle hardware/software stacks
- Lead the way to productize these components all the way into fleet scale production by crafting and advocating measurable engineering metrics
- Dig into innovative hardware/software components to debug complex problems across sensors (such as Cameras, Radars, Lidars etc.), network, perception and core underlying OS
- Lead left shifting of tests into HIL and SIL platforms with the core set of issues hurting Fleet
- Conceptualize, architect and productize software tools that stem out of root cause analysis of system and operational components; both vehicle specific and fleet wide
- Demonstrated strong system software experience is a fundamental requirement; experience with Operating System, GPU, Sensor technologies towards image processing, computer vision, and multimedia are valued
- Familiarity with automobile technologies, HIL, SIL is very desirable
Requirements
- BS or MS degree in EE/CS or closely related field (or equivalent experience)
- 5+ years of experience in the relevant field
- Excellent programming skills in C++, C and Python along with source control tools like Git, Perforce, etc.
- Knowledge about system programming, threading, mutex, synchronization, communication, and parallel computing to build highly scalable and efficient applications
- Strong debugging abilities in highly pipelined software stacks
- Engineering leadership skills across cross matrixed organizations
Ways to stand out from the crowd
- Experience in Automotive Vehicle and/or Robotic System fleet management systems
- Demonstrated past experience in software integration across sophisticated software stacks and drive to productization
- Knowledge on Linux, QNX, Android, and/or other real-time operating systems
- Thrive on writing low latency, highly performant code
- Understanding of system architectures and a flair for performance and stability improvements across CPU/GPU/Memory/Storage
Applications for this job will be accepted at least until July 24, 2026.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.