Senior System Software Engineer - AV Platform

at Nvidia
USD 152,000-287,500 per year
SENIOR
✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences

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

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 (Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN) and works across multi-computer and heterogeneous architectures. The role involves collaboration across the stack—from platform and embedded software to cloud infrastructure—with a focus on safety and performance.

Responsibilities

  • Integrate sensors into the AV driving software stack.
  • Conceptualize, develop and deploy data recording software.
  • 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).
  • 5+ 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 or low-level hardware when needed.
  • Knowledge of embedded system programming, threading, mutexes, synchronization, communication, and parallel computing for highly-scalable and efficient applications.
  • Familiarity with hardware architecture for CPU/GPU and memory performance.
  • Prior experience in Autonomous Vehicles, Robotics, Self-Driving Cars, GPU technology, Embedded Systems, or Computer Vision.
  • Outstanding communication skills and teamwork.

Ways to stand out

  • Deep understanding of system architecture (CPU/GPU/Memory/Storage) and performance optimization.
  • Experience building Autonomous Vehicle or Robotic Systems.
  • Hands-on experience in embedded development, operating systems and real-time software.

Compensation and other details

  • Base salary range (location, experience, and peer pay dependent):
    • Level 3: 152,000 USD - 241,500 USD
    • Level 4: 184,000 USD - 287,500 USD
  • Eligible for equity and benefits (link to company benefits provided in the original posting).
  • Applications for this job will be accepted at least until February 24, 2026.
  • This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.
  • NVIDIA is an equal opportunity employer and states non-discrimination in hiring and promotion practices.