Senior Systems Software Engineer - Autonomous Vehicles

NVIDIA AI
Santa Clara, California, United StatesFull-time$184,000–$287,500Posted Aug 30, 2026

About the role

Job Requisition ID

JR2021504

Job Category

Engineering

Time Type

Full time

NVIDIA’s Autonomous Vehicles Platforms Organization is looking for hands-on System Software Engineers to join our Autonomous Vehicles Fleet Engineering Integration team to define the way autonomous vehicles are taken from concept to large scale fleet operations! This is a visible role that offers an opportunity to closely work with outstanding 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 be engineering the integration of core system software with AV functions software to deliver outstanding AV Platform to our 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.

What You'll Be Doing

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.

What We Need To See

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.

#AutonomousVehicles

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.

Applications for this job will be accepted at least until September 2, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Responsibilities

  • Participate and lead engineering collaborations with internal/external engineering leads
  • Lead the way to productize components into fleet scale production
  • Debug complex problems across sensors, network, perception and core underlying OS
  • Conceptualize, architect and productize software tools from root cause analysis

Qualifications

  • BS or MS degree in EE/CS or closely related field
  • 5+ years of experience in the relevant field
  • Excellent programming skills in C++, C and Python
  • Knowledge about system programming, threading, mutex, synchronization, communication, and parallel computing
  • Strong debugging abilities in highly pipelined software stacks

Benefits

  • Equity
  • Inclusive work environment

Skills mentioned

C++CPythonGitLinuxDebuggingPerformance OptimizationConcurrencyMultithreadingReal-Time Operating Systems

About NVIDIA AI

Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.

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