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Remote Nvidia Autonomous Driving Jobs (NOW HIRING)

AeroVect

CA$140K/yr

... and autonomous driving. Our customers include some of the world's largest airlines and ground ... Intuition, Foretellix, NVIDIA Omniverse, IsaacSim, Gazebo, or a proprietary in-house ...

Nvidia

Senior Security Engineer, RTOS and Virtualization

$117K - $160K/yr

... in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give ... to NVIDIA's advancement in artificial intelligence and autonomous vehicles. Our mission is to ...

Nvidia

Senior Network Reliability Engineer - DGX Cloud

$106K - $145K/yr

... NVIDIA, from Graphics Drivers to Autonomous Vehicles and Artificial Intelligence. In this role, the ... Engage in 24/7 global shift rotations to provide remote support for network repairs and changes ...

Nvidia

Senior Product Architect, Storage

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 ...

Nvidia

Senior Software Architect - Data Center Systems

OR · On-site +1

$129K - $175K/yr

... autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of ... driving our success in this exciting and quickly growing field. Your base salary will be determined ...

Torc Robotics

Sr. System Test Engineer - HiL

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our ... We are also open to hiring Remote in the United States. Perks of Being a Full-time Torc'r Torc ...

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How much do remote nvidia autonomous driving jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for remote nvidia autonomous driving in the United States is $21.37, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $21.63 per hour, depending on experience, location, and employer.

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.

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Remote Nvidia Autonomous Driving jobs near you

Software Engineer, Autonomous Vehicles (Motion Planning)

Helm.ai

Remote

Full-time

Medical, Retirement

Posted 26 days ago

Job description

We help make autonomous technologies more efficient, safer, and accessible.
Helm.ai builds AI software for autonomous driving and robotics. Our "Deep Teaching" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale.
We are looking for versatile engineers to shape core components of the next generation of the Helm.ai autonomous stack. No prior experience in autonomous vehicles is required-we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai's AI teams, and work with customers to advance highway and urban autonomous driving capabilities.
You will:
  • Architect core behavior planning: Own the logic and decision frameworks that guide the vehicle through complex maneuvers (like unprotected turns, dynamic merges, and yielding).
  • Optimize trajectories: Develop robust trajectory generation systems that perfectly balance safety, passenger comfort, and vehicle progress.
  • Ensure verifiable safety: Translate complex traffic rules and operational design domain (ODD) constraints into interpretable, highly safe planning behaviors.
  • Solve the long-tail: Tackle exciting, real-world edge cases, from unpredictable pedestrians and occlusions to complex construction zones.
  • Drive cross-functional integration: Collaborate closely to seamlessly connect your planner with perception, prediction, localization, and control modules.
  • Test and validate: Prove out your solutions through rigorous scenario-based simulations, closed-course trials, and live on-road testing.
  • Optimize for real-time: Deliver robust, highly deterministic performance tailored for embedded automotive hardware.

You have:
  • MS/PhD in robotics, Computer science, Electrical Engineering, or equivalent industry experience.
  • Solid C++ for robust, real-time systems, paired with Python for tooling and data analysis.
  • Deep familiarity with both planning algorithms (search, sampling and optimization-based) and complex decision architectures (like FSMs and behavior trees).
  • A solid grasp of vehicle kinematics and dynamics to ensure safe, smooth, and realistic motion profiles.
  • Hands-on experience with ROS/ROS2 or comparable autonomous middleware.

The following are not required but a plus:
  • Experience shipping a planner on public roads and analyzing real-world disengagement data.
  • Hands-on experience with tools like CARLA or custom in-house scenario frameworks.
    We offer:
  • Competitive health insurance options
  • 401K plan management
  • Remote-friendly and flexible team culture
  • Free lunch and fully-stocked kitchen in our South Bay office
  • Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
  • The opportunity to work on one of the most interesting, impactful problems of the decade

Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai are considered the property of Helm.ai and are not subject to payment of agency fees.

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