Senior System Software Engineer - AV Platform

at Nvidia
USD 184,000-356,500 per year
SENIOR
✅ On-site

Used Tools & Technologies

Not specified

Required Skills & Competences

Linux @ 4 Python @ 4 Algorithms @ 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 is responsible for developing platform and middleware features for self-driving cars, including software that interacts with various sensors (Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN). The role involves inventing, developing, and maintaining application frameworks and tools on multi-computer and heterogeneous architectures, working 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.
  • 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).
  • 6+ 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, with willingness to work in 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 with attention to 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 in Autonomous Vehicle or Robotic System building.
  • Hands-on experience in embedded development, operating systems and real-time software.

Compensation & Benefits

  • Base salary range: 184,000 USD - 287,500 USD for Level 4; 224,000 USD - 356,500 USD for Level 5.
  • Eligible for equity and benefits (link to company benefits provided in original posting).

Other Information

  • Applications for this job will be accepted at least until March 13, 2026.
  • This posting is for an existing vacancy.
  • NVIDIA uses AI tools in its recruiting processes.
  • NVIDIA is an equal opportunity employer and states nondiscrimination across many protected characteristics.