Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Linux @ 4
Python @ 4
Algorithms @ 4
Communication @ 4
Performance Optimization @ 4
System Architecture @ 7
GPU @ 3
AI @ 4
Computer Vision @ 4
Robotics @ 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
The Autonomous Vehicles Platform team is looking for a hands-on System Software Engineer. As part of the team you will work on Autonomous Driving Platform software, implementing performant and scalable solutions for data collection and autonomous vehicle fleets. The team develops platform and middleware features for self-driving cars, including software that interacts with various sensors such as Cameras, LIDAR, RADAR, GPS, IMU and Vehicle CAN. The role involves inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures and working across the stack from platform and embedded software to cloud infrastructure, with attention to safety and performance.
Responsibilities
- Integrate sensors into the AV driving software stack.
- Develop and improve startup user experience of the AV stack.
- Work on sensor abstraction layers, data processing and performance optimization, data serialization, and service frameworks.
- Collaborate with hardware, platform software, product, safety, performance, algorithms and cloud teams.
Requirements
- 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 developing user-space system software and willingness to delve into kernel-space and/or low-level hardware when needed.
- Knowledge of embedded system programming, threading, mutexes, synchronization, communication, and parallel computing to build highly scalable and efficient applications.
- Familiarity with hardware architecture for CPU/GPU and memory and performance considerations.
- Prior experience in Autonomous Vehicles, Robotics, Self-Driving Cars, GPU technology, Embedded Systems, or Computer Vision.
Ways to stand out
- Deep understanding of system architecture, CPU/GPU/Memory/Storage and performance optimization techniques.
- Experience in Autonomous Vehicle or Robotic System building.
- Hands-on experience in embedded development, operating systems and real-time software.
Compensation & Benefits
- Base salary range (Level 4): 184,000 USD - 287,500 USD per year.
- Base salary range (Level 5): 224,000 USD - 356,500 USD per year.
- Eligible for equity and additional benefits (link to company benefits).
Additional information
- Applications for this job will be accepted at least until May 22, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is an equal opportunity employer committed to fostering a diverse work environment.