NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s an outstanding legacy of innovation that’s fueled by great technology—and outstanding people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent.
Our team is looking for Senior System Engineers specializing in self-driving vehicle technology. As a senior member you will be responsible for integrating and maintaining end-to-end software with Sensing/Perception/Localization/Planning/Control included, ensuring its stable and safe deployment in the field.
What you'll be doing:
Develop and maintain the application as well as vital tools for autonomous driving
Diagnose and tackle real exciting problems to provide the world with the best driving experience
Vertical stack performance optimization
What we need to see:
MS or higher in computer science or a related engineering field
Excellent C and C++ programming
Experienced in developing system software in user space with capability digging into kernel and even low-level hardware
Good understanding of Operating Systems, threading, synchronization and parallel computing to build highly efficient applications
Familiar with underlying parallel architectures, CPU/GPU/DLA/DSP
Excellent analytical, communication and collaboration skills in international organization
Ways to stand out from the crowd:
Software development experience with CUDA
Prior experience in: Autonomous vehicles, Robotics, Computer Vision and/or ML
Understanding Real-time operating systems and its Kernel
Skills Required
- Master’s degree or higher in computer science or a related engineering field
- Excellent C and C++ programming skills
- Experience developing user-space system software, with the ability to work with kernels and low-level hardware
- Understanding of operating systems, threading, synchronization, and parallel computing
- Familiarity with CPU, GPU, DLA, and DSP architectures
- Strong analytical, communication, and collaboration skills
- Software development experience with CUDA
- Prior experience with autonomous vehicles, robotics, computer vision, or machine learning
- Understanding of real-time operating systems and their kernels
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.”
