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Remote Autonomous Driving Engineer Jobs in Austin, TX

Senior Frontend Engineer

Austin, TX ยท Remote

$121K - $167K/yr

About the team We're a fast-moving team of engineers building the Remote Control system that powers teleoperation and fleet management for autonomous cars and delivery robots. Our tools enable ...

... everyone is remote and working in the full Atlassian tool chain which makes driving great ... Our engineers enjoy a sense of freedom and liberty working as completely autonomous contributors ...

Our product works autonomously and so do our teams. We value a 'one team' mentality where everyone ... Join the core Agent Team- the engine driving Automox's ability to manage millions of devices ...

Senior DevOps Engineer

Austin, TX ยท Remote

$160K - $180K/yr

This is a highly autonomous, ground-level role where you'll navigate complex, unfamiliar systems ... Prior experience being the first remote hire in a region or building early-stage operational ...

This is a highly autonomous role for someone who enjoys solving complex problems and driving ... Ability to work independently in a remote, fast-paced environment. Nice-to-Have * Experience with ...

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Showing results 1-20

Remote Autonomous Driving Engineer information

See Austin, TX salary details

$58.5K

$136.1K

$194.8K

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

As of Jul 28, 2026, the average yearly pay for remote autonomous driving engineer in Austin, TX is $136,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $194,300.00 per year, depending on experience, location, and employer.

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 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 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.

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 popular job titles related to Remote Autonomous Driving Engineer jobs in Austin, TX? For Remote Autonomous Driving Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Autonomous Driving Engineer jobs in Austin, TX look for? The top searched job categories for Remote Autonomous Driving Engineer jobs in Austin, TX are:

Senior Frontend Engineer

Avride

Austin, TX โ€ข Remote

$121K - $167K/yr

Other

Posted 23 days ago


Job description

About the team

We're a fast-moving team of engineers building the Remote Control system that powers teleoperation and fleet management for autonomous cars and delivery robots. Our tools enable operators to assist vehicles in complex urban environments via real-time video, map-based navigation, and custom interfaces optimized for low-latency decision-making. We care about performance, reliability, and thoughtful UX design - all in service of safe and scalable autonomy operations.

About the role

We're looking for aย Senior Frontend Engineer to help us push the boundaries of what real-time web interfaces can do. You'll be responsible for developing the operator-facing frontend of our Remote Control stack - the live command center that humans use to assist cars and robots in the wild.

This is a hands-on, high-impact role where your work directly shapes how autonomy operates at scale.

What you'll do
  • Build and maintain low-latency, real-time interfaces for controlling autonomous cars and robots
  • Architect robust React applications that integrate live video feeds, real-time maps, and interactive controls for navigation and remote assistance
  • Optimize for operator efficiency: keyboard workflows, high-res layouts, fast feedback loops
  • Collaborate with backend, robotics, and UX teams to shape APIs and flows for reliability under edge conditions
  • Ship fast, iterate often, and deliver responsive, intuitive tools that support autonomous vehicle operations
What you'll need
  • Strong React and TypeScript skillsย - proven track record building fast, maintainable apps
  • Real-time mindsetย - experience working with websockets, live data, or streaming video is a plus
  • UI intuitionย - you care about interface design and performance, and you know how to debug slow or janky UIs
  • System thinkingย - you know how frontend fits into the bigger picture, and you write code that holds up under load
Nice to have
  • Experience with WebRTC, low-latency video, or socket-based architectures
  • Familiarity with telemetry, maps, or robotics/vehicle systems
  • Basic Python or Go skills for debugging backend issues