NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
At NVIDIA, we are building the next generation AI-native autonomous driving architecture — combining classical safety stacks, foundation models, and scalable AI systems into a unified production platform. Autonomous driving is entering a new era. The next generation of AV systems will not be purely classical robotics stacks, nor purely end-to-end neural networks. The future lies in the deep integration of classical safety architectures and large-scale AI-driven systems. If you want to work on problems that build the future of autonomous systems over the next decade, this is the place.
What You’ll Be Doing:
- You will compose and build the architecture behind next-generation self-driving vehicle technology.
- Work on Prediction, Decision, Planning and Control architecture
- Have exposure to Classical safety stack
- Build robust system-level safety and fallback strategies
- Work on End-to-end data-driven AV pipelines
- Hands on experience in DVLA / VA driving models
- Develop a World Model–based planning and reasoning model
- Have the exposure to engage with Large-scale model inference architecture
- Contribute to the integration of innovative research in robotics into our self-driving vehicle technologies.
- Deep knowledge of E2E AV software integration from perception through control, including dependencies, interface management, and performance tuning.
What We Need To See:
We’re looking for engineers who can build systems — not just components.
- PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Production experience in autonomous driving systems
- Worked on AI foundation models or large-scale ML systems
- Helped drive End-to-end driving models
- Experience working on Robotics or embodied AI systems
- Knowledge and experience in System architecture from 0 → 1 → scale.
Ways To Stand Out From The Crowd:
- PhD in a relevant field or related research experience
- Knowledge of CUDA is a plus
NVIDIA is widely recognized as one of the world’s most innovative technology companies — driving breakthroughs in AI, autonomous systems, and high-performance computing. As part of our Autonomous Driving division, you’ll work alongside world-class engineers to bring next-generation driving intelligence from research to reality.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
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
- PhD with 4+ years, MS with 6+ years, or BS with 8+ years in Computer Science, Computer Engineering, or related field
- Production experience in autonomous driving systems
- Experience working on AI foundation models or large-scale ML systems
- Experience with end-to-end driving models
- Experience with robotics or embodied AI systems
- Knowledge and experience in system architecture from 0 -> 1 -> scale
- Deep knowledge of end-to-end AV software integration from perception through control
- Hands-on experience in DVLA / VA driving models
- Exposure to classical safety stack and building system-level safety and fallback strategies
- Knowledge of CUDA
- PhD or related research experience (ways to stand out)
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
