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Remote Autonomous Systems Jobs (NOW HIRING)

Auterion

Enterprise Solutions Engineer

Seattle, WA · Remote

Auterion builds a cutting-edge operating system for autonomous robotic systems that empower a ... Work within the Enterprise team in Zurich as a remote engineer and collaborate with other ...

Auterion

Enterprise Solutions Engineer

Seattle, WA · Remote

Auterion builds a cutting-edge operating system for autonomous robotic systems that empower a ... Work within the Enterprise team in Zurich as a remote engineer and collaborate with other ...

Secmation

Senior Backend-Focused Full Stack Developer

Cary, NC · On-site +1

$111.60K - $145K/yr

... autonomous systems, and defense technologies. What You'll Do * Develop backend services and full ... Remote work available for candidates located within driving distance of Huntsville, AL. * Must be ...

Ghostworks Marine

Autonomy Technical Lead

Holland, MI · Remote

... system designs and integration across perception, prediction, planning, and remote piloting ... Broad exposure to the end-to-end autonomy stack, from perception through controls * Deep expertise ...

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Remote Autonomous Systems information

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$46K

$102.1K

$153K

How much do remote autonomous systems jobs pay per year?

As of May 31, 2026, the average yearly pay for remote autonomous systems in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Autonomous Systems vs Remote Robotics Engineers?

AspectRemote Autonomous SystemsRemote Robotics Engineers
Required credentialsBachelor's or higher in engineering, computer science, or related fields; experience with AI, machine learning, and control systemsBachelor's or higher in robotics, mechanical, electrical engineering; proficiency in programming and hardware integration
Work environmentDesigning, testing, and deploying autonomous systems remotely, often in industries like defense, transportation, or agricultureDeveloping robotic hardware/software remotely, often in research labs or industrial settings
Employer and industry usageTech companies, defense contractors, transportation firmsRobotics startups, manufacturing, research institutions

Remote Autonomous Systems professionals focus on creating and managing autonomous technologies remotely, often involving AI and control systems. Remote Robotics Engineers develop robotic hardware and software remotely, emphasizing hardware integration and mechanical design. While both roles require engineering expertise and often overlap in AI and automation, their primary focus and industry applications differ.

More about Remote Autonomous Systems jobs
What cities are hiring for Remote Autonomous Systems jobs? Cities with the most Remote Autonomous Systems job openings:
What are the most commonly searched types of Autonomous Systems jobs? The most popular types of Autonomous Systems jobs are:
What states have the most Remote Autonomous Systems jobs? States with the most job openings for Remote Autonomous Systems jobs include:
What job categories do people searching Remote Autonomous Systems jobs look for? The top searched job categories for Remote Autonomous Systems jobs are:
Remote Autonomous Systems jobs near you
Infographic showing various Remote Autonomous Systems job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $102,067 per year, or $49.1 per hour.
Senior Software Engineer - Autonomy Integrations

Senior Software Engineer - Autonomy Integrations

Motional

Boston, MA • On-site, Remote

$133.10K - $175.50K/yr

Other

Posted 5 days ago

Job description

Mission Summary:

We are looking for a Senior Software Engineer to develop and deliver automated workflows, intelligent tooling and insightful analytics that enables our autonomy stack to scale. You will play a pivotal role in transforming massive amounts of data into actionable engineering insights, ensuring our software releases are robust, validated, and ready for the road.

What you'll be doing:

  • Develop Intelligent Tooling: You will design and implement sophisticated automation to categorize and explain complex system behaviors by leveraging advanced data modeling to accelerate solutions.
  • Drive Analytics: You'll lead the creation of high-impact performance visualization tools that translate raw metrics into clear, actionable insights regarding on-road performance.
  • Streamline Release Engineering: Your expertise will help the team evolve our release processes, moving toward a highly automated deployment framework that maintains quality while improving efficiency
  • Advance Simulation Capabilities: You'll have the opportunity to enhance our virtual testing ecosystems, ensuring our simulation suites provide the high fidelity feedback necessary to properly understand the release.
  • Collaborate at Scale: Work within a large, multi-disciplinary codebase to ensure seamless integration between planning, motion, and controls teams.

What we're looking for:

  • Extensive experience building production-grade applications, tools, and pipelines using Python.
  • Comfortable navigating and contributing to large, complex codebases where modularity and documentation are key.
  • Proven track record of delivering software in a production environment, including familiarity with CI/CD, version control at scale, and rigorous release cycles.
  • Curious about data and possess the ability to extract meaningful patterns from noisy, high-dimensional datasets.
  • Passionate about a driverless future and understand the high stakes of deploying software that interacts with the physical world.

Bonus Points(not required): 

  • Experience with C++ in a Linux environment.
  • Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration.
  • Background in robotics middleware (ROS, DDS) or autonomous systems.

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