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Remote Autonomous Vehicle Jobs (NOW HIRING)

Background in robotics, autonomy, automation, or remote-control systems. Understanding of machine controls, vehicle communication networks, and embedded software systems. Education & Experience ...

Software Engineer, US Remote

New York, NY ยท On-site +1

$180K - $220K/yr

Autonomous vehicle fleets. We power charging infrastructure for the leading AV fleets. Our systems ... Generous equipment and home office budget for remote teammates. * Quarterly team bonding weeks with ...

This is a remote role with on-call responsibilities and occasional travel required, estimated at less than 20%. Job Summary: This role directly serves as a critical bridge between autonomous vehicle ...

Join us as a key technical leader in Las Vegas as we launch our commercial Autonomous Vehicle (AV ... Ability to manage stakeholders (Ops, Product) and communicate effectively with a remote engineering ...

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Remote Autonomous Vehicle information

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How much do remote autonomous vehicle jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for remote autonomous vehicle in the United States is $22.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $24.76 per hour, depending on experience, location, and employer.

What does a typical workday look like for a Remote Autonomous Vehicle Operator?

As a Remote Autonomous Vehicle Operator, your day often involves monitoring and controlling autonomous vehicles via a remote interface, ensuring their navigation and safety through diverse environments. You'll routinely communicate with engineering and support teams to address system alerts, troubleshoot technical issues, and follow established safety procedures. The role may include structured shifts, with some operators working evenings or weekends, particularly in support of round-the-clock vehicle operations. This collaborative environment allows you to play a vital role in advancing the adoption and reliability of autonomous vehicle technology while contributing to ongoing process improvements.

What are the key skills and qualifications needed to thrive in the Remote Autonomous Vehicle position, and why are they important?

To thrive in a Remote Autonomous Vehicle Operator position, you need a solid understanding of vehicle technology, remote control systems, and situational awareness, often supported by a technical or engineering background. Familiarity with teleoperation platforms, safety protocols, and specialized software such as remote monitoring tools is essential. Strong problem-solving abilities, attention to detail, and clear communication skills help operators manage real-time challenges and coordinate with technical teams. These qualifications are vital to ensuring safe and efficient vehicle operation while minimizing risks in dynamic environments.

What is a Remote Autonomous Vehicle job?

A Remote Autonomous Vehicle job involves monitoring, controlling, and supporting autonomous vehicles from a remote location. Operators may intervene when the vehicle encounters situations it cannot handle on its own, ensuring safe navigation. Roles in this field can include remote driving, fleet management, and technical support. These jobs are critical for improving the reliability and performance of self-driving technology.

More about Remote Autonomous Vehicle jobs
What cities are hiring for Remote Autonomous Vehicle jobs? Cities with the most Remote Autonomous Vehicle job openings:
What are the most commonly searched types of Autonomous Vehicle jobs? The most popular types of Autonomous Vehicle jobs are:
What states have the most Remote Autonomous Vehicle jobs? States with the most job openings for Remote Autonomous Vehicle jobs include:
Infographic showing various Remote Autonomous Vehicle job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,227 per year, or $22.2 per hour.

Software Engineer, Autonomous Systems

Humble Robotics

San Francisco, CA โ€ข On-site, Remote

Full-time

Posted 10 hours ago


Job description

About Humble Robotics

Working at Humble Robotics means taking on the biggest change in ground transportation in decades. Weโ€™re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for todayโ€™s global logistics network.

Weโ€™re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We donโ€™t believe culture can be engineered โ€“ but when it falls into place, itโ€™s a once-in-a-lifetime adventure.

Progress has never felt so present.

Position Overview

We're looking for a software engineer to help build the software systems that make our autonomous trucks drive. Your primary focus will be on software that runs on the vehicle, and you'll contribute across the stackโ€”from sensors and inference to developer tooling and fleet-facing systemsโ€”working closely with teammates across robotics, ML, and controls. We also value engineers who are excited to jump into adjacent parts of the stack as needed, from firmware-facing integrations and developer tooling to cloud services and internal applications. This is a chance to support a production autonomy stack from day one, shipping code that runs on real trucks hauling real freight.

Key Responsibilities
  • Contribute to the design, implementation, and optimization of software across the autonomy stack, with an emphasis on real-time systems running on the vehicle
  • Help build and improve on-vehicle data logging and recording systems
  • Contribute to the hermetic build and cross-compilation pipeline, including packaging and deployment for on-vehicle compute platforms and adjacent system components
  • Instrument, profile, and improve system performance end-to-endโ€”from IPC latency to compute throughput to disk I/O
  • Write tests and support CI improvements to ensure system reliability
  • Contribute to integrations across on-vehicle, cloud, and fleet-facing systemsโ€”remote data pipelines, over-the-air updates, and connectivity
  • Jump into adjacent engineering work as needed, from firmware-facing integrations and developer tooling to cloud services and internal web applications
  • Collaborate with ML and controls engineers to integrate their work into the real-time on-vehicle stack
Minimum Qualifications
  • BS or MS in Computer Science, Electrical Engineering, Robotics, or a related fieldโ€”or equivalent industry experience
  • Strong proficiency in Rust or C++ with experience shipping low-latency, concurrent software on Linux
  • Familiarity with real-time scheduling, inter-process communication, synchronization primitives, and debugging latency-sensitive concurrent systems
  • Experience contributing to Linux systems software, hardware-adjacent infrastructure, sensor / compute platform bring-up, or similarly close-to-hardware systems
  • Eligible to work in the United States
Preferred Qualifications
  • Experience contributing to software for autonomous vehicles, mobile robots, or other safety-critical systems
  • Hands-on work with sensor integration
  • Experience with GPU-accelerated compute or productionizing AI models (quantization, optimization, deployment)
  • Experience with low-latency IPC, shared-memory transport, or high-throughput pub-sub systems
  • Familiarity with cloud infrastructure, networking, or vehicle-to-cloud data pipelines
  • Experience with Bazel or other hermetic build systems
  • Experience with cross-compilation, packaging, or deployment for Linux-based systems
  • Comfort working as a software generalist across systems boundaries, from on-vehicle software to cloud services and internal tools
  • Comfort working on a small team with high ownership, low ego, and fast iteration
Compensation

This role is eligible for base salary + benefits + equity compensation. Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location.

Additional Information

As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact legal@humblerobotics.ai to exercise this right or if you have further questions on the use of AI tools in our hiring process.

Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.