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Remote Nvidia Autonomous Driving Jobs (NOW HIRING)

Waymo

Senior Software Engineer, Planner

Pittsburgh, PA · On-site +1

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Software Engineer, Planner

Mountain View, CA · On-site +1

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Software Engineer, Planner

San Francisco, CA · On-site +1

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Data Scientist

San Francisco, CA · On-site +1

$170K - $216K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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

As of May 30, 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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What are the most commonly searched types of Nvidia Autonomous Driving jobs? The most popular types of Nvidia Autonomous Driving jobs are:
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Remote Nvidia Autonomous Driving jobs near you
Senior Embedded Software Engineer

Senior Embedded Software Engineer

Motional

Boston, MA • On-site, Remote

$134.70K - $176.50K/yr

Other

Posted 23 days ago

Job description

Mission Summary:

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on-board autonomous driving system. As part of this team, the High Performance Compute Platform team is responsible for Motional's current and next-generation onboard autonomous driving system. If you are a software engineer and love the idea of working on embedded AI hardware and software compute systems to create the next generation of autonomous vehicles, we would love to talk with you. We are hiring in a range of levels, from graduate engineers to Staff engineers.

What You'll Be Doing:

  • Design and develop infrastructure software on various hardware platforms for applications such as vision processing, radar systems, safety monitoring, etc., to be run on self-driving vehicles.
  • Design test harnesses for embedded software components and full systems
  • Provide technical mentorship to engineers.
  • Proactively work with cross-functional engineering teams to solve complex and interesting problems.

What We're Looking For:

  • Experience with creating detailed requirements from use cases.
  • Ability to lead a technical initiative, including breaking down work and guiding other engineers through execution.
  • Experience writing software for embedded platforms in C and C++.
  • Experience with Test-Driven Development (TDD).
  • Experience working on embedded Linux / RTOSs.
  • Experience working with networks (Ethernet, CAN etc.) and the common networking protocols.
  • Experience with debugging on embedded platforms.
  • Experience writing software in Python and experience doing automation with shell scripting.
  • Experience working with ARM Cortex MCUs or Microprocessors.

Bonus Points (not required):

  • Experience working with large data pipelines, and platforms that require deterministic execution.
  • Experience using inter-system communication protocols such as I2C and SPI
  • Experience deploying Machine Learning models.
  • Experience working with GPUs.
  • Experience working directly with the Linux kernel or Device Drivers.
  • Experience with Simulation and Code Generation, and knowing when their use is appropriate.
  • Experience working with Bazel.
  • Experience integrating various sensors, including Cameras, IMUs, Radars, LIDARs.
  • Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. 

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Apply