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Remote Autonomous Driving Engineer Jobs (NOW HIRING)

Nvidia

Senior Localization Engineer - Autonomous Vehicles

OR · On-site +1

$122K - $161K/yr

Today, a self-driving car powered by AI can meander through a country road at night and find its ... We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us. An always ...

New

Nvidia

Senior Sensor Fusion Engineer - Autonomous Vehicles

OR · On-site +1

$104K - $137K/yr

In this role, you will help craft and guide the future of our autonomous driving solution for ... Mentoring strong engineers within the team. Make sure our algorithms work well on large amounts of ...

New

AeroVect

Infrastructure Engineer

South San Francisco, CA · On-site +1

$129K - $169K/yr

If you have a passion for applying autonomous driving technologies to impact the flow of goods for millions of people, we want to talk to you! You will work closely with our engineering team across ...

General Motors

Principal AI/ML Engineer

$296K - $423K/yr

Trajectory generation is one of the most critical components of an autonomous driving system. Itis ... Remote/Hybrid: Thisrole is based remotely but if you live within a 50-mile radius of Austin ...

General Motors

Principal AI/ML Engineer

Sunnyvale, CA · On-site +1

$296K - $423K/yr

Trajectory generation is one of the most critical components of an autonomous driving system. Itis ... Remote/Hybrid: Thisrole is based remotely but if you live within a 50-mile radius of Austin ...

Motional

Principal Engineer

... autonomous driving technology, excited by intellectual challenges, and interested in pursuing ... Strong programming skills in C++ and/or CUDA programming

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Remote Autonomous Driving Engineer information

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How much do remote autonomous driving engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote autonomous driving engineer in the United States is $137,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $196,000.00 per year, depending on experience, location, and employer.

What is a remote autonomous driving engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

What are the key skills and qualifications needed to thrive as a remote autonomous driving engineer, and why are they important?

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.

What are the unique challenges of collaborating with global teams as a remote autonomous driving engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is the difference between Remote Autonomous Driving Engineer vs Remote Autonomous Vehicle Software Developer?

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

More about Remote Autonomous Driving Engineer jobs

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What are the most commonly searched types of Autonomous Driving Engineer jobs?

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What states have the most Remote Autonomous Driving Engineer jobs?

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Remote Autonomous Driving Engineer jobs near you
Infographic showing various Remote Autonomous Driving Engineer job openings in the United States as of August 2026, with employment types broken down into 66% Full Time, 32% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $137,309 per year, or $66 per hour.

Senior Localization Engineer - Autonomous Vehicles

Nvidia

OR • On-site, Remote

$122K - $161K/yr

Full-time

Posted 3 days ago

New

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error.

Do you agree with us that this truly is an extraordinary time and that the era of AI has begun. We are proud that NVIDIA is playing a meaningful role in this development, where our hardware and software platforms power a large eco-system of partners who are working to deliver products, all over the world. In the space of self-driving cars, NVIDIA provides the DRIVE AGX hardware platform which runs our DRIVE software.

We are looking for a Senior Localization Engineer for Autonomous Vehicles to join us. An always available map helps tremendously for reliable autonomous driving. In this role, you will help build robust solutions for using ubiquitous navigation maps as well as our crowd sourced maps in our driving stack.

What you'll be doing: Design and build robust and accurate solutions for map enhanced autonomous driving with ASIL safety requirements in mind. Localize to map data to provide the most precise and rich model of the environment around the car, including beyond the horizon of perception. Make sure our algorithms work well on large amounts of real and synthetic data, in a diverse range of environments and conditions.

Write safe, highly efficient real-time code in C++, making use of algorithmic parallelism offered by GPGPU programming in CUDA. Productize all software for real-world deployment to consumer cars, following automotive quality and safety standards (MISRA, ISO26262). What we need to see: PhD with 2+ years, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.

Experience in computer vision, 3D geometry, mapping, localization or related technologies. Outstanding communication and teamwork skills, as this project requires both cross-team collaboration and work in a tightly-knit team. Meticulous craftsmanship of software in modern C++.

A solid foundation in linear algebra and geometric computer vision. Ways to stand out from the crowd: Significant industry experience in above areas. Experience developing real-time Computer Vision systems.

Experience with CUDA parallel programming We believe that realizing self-driving cars will be a defining contribution of our generation (e.g. traffic accidents cause ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you're creative and autonomous, we want to hear from you. 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 June 28, 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

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Benefits

Hours and flexibility

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Get the full story on Breakroom

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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

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