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.
You will also be eligible for equity and benefits.
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.Skills Required
- BS or MS in EE/CS or closely related field (or equivalent experience)
- 5+ years of relevant experience
- Proficiency in C++, C, and Python
- Experience with source control tools (Git, Perforce)
- Strong system software experience (OS, threading, synchronization, parallel computing)
- Strong debugging abilities in highly pipelined software stacks
- Engineering leadership across cross-matrix organizations
- Familiarity with automotive technologies, HIL and SIL platforms
- Experience with GPU, sensor technologies, image processing, computer vision, multimedia
- Knowledge of Linux, QNX, Android, or other real-time operating systems
- Experience in automotive vehicle or robotic fleet management systems
- Experience writing low-latency, high-performance code and improving CPU/GPU/Memory/Storage performance
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
