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Remote Nvidia Autonomous Driving Jobs in California

Senior Software Engineer - Topography

Santa Clara, CA · Remote

$143K - $189K/yr

... autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of ... If you're a creative, curious, and driven technical leader, we want to hear from you! #LI-Remote ...

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

... autonomous engineer with a real passion for technology, we want to hear from you. #LI-Remote Your ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

... autonomous engineer with a real passion for technology, we want to hear from you! #LI-Remote Your ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Senior Compiler Engineer Infrastructure

Santa Clara, CA · On-site +1

$127K - $173K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Senior Compiler Engineer Infrastructure

Santa Clara, CA · On-site +1

$127K - $173K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote ... autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and ...

Their team includes engineers from Waymo, Cruise, Apple, NVIDIA, and Google. They are fully remote ... autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and ...

Showing results 21-40

Remote Nvidia Autonomous Driving information

What is the difference between Remote Nvidia Autonomous Driving vs Remote Nvidia Computer Vision Engineer?

AspectRemote Nvidia Autonomous DrivingRemote Nvidia Computer Vision Engineer
Required CredentialsBachelor's or higher in Computer Science, Engineering, or related field; experience with autonomous vehicle systemsBachelor's or higher in Computer Science, Electrical Engineering, or related; expertise in computer vision and image processing
Work EnvironmentDeveloping and testing autonomous driving algorithms, simulation, hardware integrationDesigning and implementing computer vision models, image analysis, and perception systems
Industry UsageAutonomous vehicle companies, automotive techRobotics, AI, automotive, and tech industries
Common Search/ComparisonYesYes

Remote Nvidia Autonomous Driving focuses on developing autonomous vehicle systems, while Remote Nvidia Computer Vision Engineer specializes in creating computer vision solutions applicable across various fields. Both roles require expertise in AI and programming, but their applications and daily tasks differ significantly within the tech industry.

What are the most commonly searched types of Nvidia Autonomous Driving jobs in California?

The most popular types of Nvidia Autonomous Driving jobs in California are:

What cities in California are hiring for Remote Nvidia Autonomous Driving jobs?

Cities in California with the most Remote Nvidia Autonomous Driving job openings:

Senior Software Engineer - Topography

Santa Clara, CA • Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$143K - $189K/yr

Full-time

Re-posted 11 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? Do you thrive when your work directly empowers teams to push the boundaries of what's possible? We're a collaborative group of engineers, architects, and SREs who are passionate about building and nurturing the declarative, Kubernetes-native control plane that powers GPU-accelerated infrastructure across multiple cloud providers.

We are building a platform that gathers topology related information from multiple sources and systems, aggregates and normalizes that data, and makes it available to provisioning systems and workload schedulers.We are looking for Senior Software Engineer who will be directly involved in not only helping maintain this critical open-source project for the community, but interfacing with bleeding edge NVIDIA hardware to ensure GPU to GPU communication is optimized for large-scale workloads across multiple providers.

What you'll be doing:

  • Building a system that gathers topology related information from multiple sources

  • Taking data collected to aggregate and normalize the data to make it available for provisioning systems and workload schedulers

  • Direct contributor in a critical open-source project, Topograph

  • Interacting with the latest and greatest hardware to ensure new product launches have the most efficient scheduling capabilities

What we need to see:

  • At least 8 years of relevant experience

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent experience.

  • Strong production engineering experience in Go or another systems language.

  • Experience with distributed systems, Kubernetes, Slurm/Slinky, Linux, containers, APIs, and CI.

  • Ability to design clean interfaces between discovery logic, data models, and scheduler output.

  • Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems.

  • Excellent testing, debugging, documentation, and code review habits:

Ways to stand out from the crowd:

  • Experience with GPU clusters, NVLink, InfiniBand, Ethernet fabrics, or HPC.

  • Hands-on work with Kubernetes scheduling, Slurm/Slinky topology, DRA, Kueue, Slinky, or device plugins.

  • Experience integrating with cloud provider topology APIs or cluster metadata systems.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're a creative, curious, and driven technical leader, we want to hear from you!

#LI-Remote

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 23, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US