NVIDIA

NVIDIA

Posted via Workday

Senior Software Engineer, L4 - Autonomous Vehicles

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $356.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience
Education
Computer Science, Computer Engineering, or a related technical field

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Role Summary

AI-generated

This role builds architecture for NVIDIA’s next-generation AI-native autonomous driving platform, integrating classical safety stacks, foundation models, and scalable AI systems. The work spans autonomous vehicle planning, reasoning, control, and system-level safety to bring research into self-driving vehicle technologies.

What You'll Do

  • Compose and build the architecture behind next-generation self-driving vehicle technology.
  • Work on Prediction, Decision, Planning and Control architecture.
  • Build robust system-level safety and fallback strategies.
  • Work on end-to-end data-driven AV pipelines.
  • Develop a World Model–based planning and reasoning model.
  • Contribute to the integration of innovative research in robotics into self-driving vehicle technologies.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Production experience in autonomous driving systems; experience with 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.

Required

  • Production experience in autonomous driving systems
  • Experience with 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

Preferred

  • PhD in a relevant field or related research experience
  • Knowledge of CUDA

Original job description

Content provided by the employer

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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.

Applications for this job will be accepted at least until July 27, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.