2

Remote Autonomous Systems Jobs (NOW HIRING)

MANAGER

Newport, RI · On-site +1

$142K - $197K/yr

Summary You will serve as a MANAGER in the Ocean Science, Autonomous Systems and Ranges Department ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Remote Position: Hourly, Full-time Wage: $30-$60/hour + benefits Technical Sales, full-time ... edge tools, autonomous systems, and machine learning applications while contributing to real ...

Sabanto develops simple, safe, and cost-effective retrofit autonomy systems that transform existing ... Remote within the assigned territory (e.g., Southeast, Midwest, Great Plains, or other key ag ...

Remote Experience: Senior/Principal Level Job Function: Marketing Employment Type: Full-Time ... Familiarity with how AI and autonomous systems are reshaping enterprise security, and the ability ...

HR Director - Remote

Phoenix, AZ · On-site +1

$70K - $150K/yr

Work within a flexible, remote structure while being supported by training, systems, and an ... Autonomy over how you structure your work * Professional development and training * Supportive ...

Genesis10 is currently seeking a Senior Infrastructure Engineer for a Remote position with a Global ... systems, APIs, and security tooling • Partner with infrastructure and security teams to ...

next page

Showing results 1-20

Remote Autonomous Systems information

See salary details

$46K

$102.1K

$153K

How much do remote autonomous systems jobs pay per year?

As of Jul 15, 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:
Infographic showing various Remote Autonomous Systems job openings in the United States as of July 2026, with employment types broken down into 2% As Needed, 87% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $102,067 per year, or $49.1 per hour.

Senior Software Engineer - Fleet Software Management System

Avride

Austin, TX • On-site, Remote

$121K - $160K/yr

Other

Re-posted 21 days ago


Job description

About the team

We are a fast-moving team of infrastructure and platform engineers building Fleet Orchestrator, which manages our entire fleet state, including software versions and configuration. Our system ensures that every vehicle in the field is running the correct, validated software stack - from the core autopilot bundles to low-level sensor firmware.

About the role

We're looking for a Senior Software Engineer to take a key role in designing and evolving our Fleet Orchestrator. You'll be responsible for the architecture, implementation, and reliability of the system that deploys software to thousands of autonomous vehicles operating in complex urban environments.

This is a hands-on, high-impact role where your work directly ensures the stability, consistency, and safety of our fleet at scale. You'll be solving complex systems problems that are critical to our mission.

What you'll do
  • Design and build a cloud-based service that dynamically computes and serves vehicle software specifications based on fleet requirements, operational state, and hardware profiles.
  • Architect and develop the agent that runs on every vehicle, managing its state and software lifecycle.
  • Deepen our integration of the agent with the underlying OS to ensure robust and isolated application environments on the vehicles.
  • Collaborate with other involved teams to define and implement deployment strategies that improve reliability, enhance the developer-to-vehicle workflow, and ensure reproducible deploys.
  • Debug and resolve complex, system-level issues across the fleet, ensuring high reliability and uptime for our autonomous systems.
What you'll need
  • Strong proficiency in Python, with experience building robust, testable, and maintainable applications.
  • Solid experience with Linux systems programming and administration, particularly with systemd.
  • Experience building and running systems in production. Proficiency with AWS, Kubernetes, or similar technologies is highly valued
  • A systems-thinking mindset-you can reason about complex distributed systems and their failure modes.
Nice to have
  • Deep understanding of software deployment, configuration management, and infrastructure-as-code principles.
  • Proficiency in Go, particularly for building scalable backend services.
  • Experience with Nix or NixOS
  • Familiarity with gRPC for building inter-service communication.
  • Background in robotics, IoT, or managing software for embedded or remote hardware.

#LI-MS1