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Remote Autonomous Systems Engineer Jobs (NOW HIRING)

SkyGrid

Senior Systems Engineer

Austin, TX · On-site +1

$103K - $141K/yr

SkyGrid, a Wisk Company, exists to open the sky for autonomous flight. Based in Austin, Texas ... fully remote role. Performance Objectives: * Deliver high-quality MBSE artifacts and technical ...

SkyGrid

Senior Systems Engineer

Austin, TX · Remote

$107K - $146K/yr

SkyGrid, a Wisk Company, exists to open the sky for autonomous flight. Based in Austin, Texas ... fully remote role. Performance Objectives: * Deliver high-quality MBSE artifacts and technical ...

SkyGrid

Senior Systems Engineer

Austin, TX · On-site +1

$103K - $141K/yr

SkyGrid, a Wisk Company, exists to open the sky for autonomous flight. Based in Austin, Texas ... fully remote role. Performance Objectives: * Deliver high-quality MBSE artifacts and technical ...

Serve Robotics

Staff Systems Engineer

Redwood City, CA · Remote

$195K - $240K/yr

As a Staff Systems Engineer , you are responsible for ensuring that our robot is safe, robust ... You will own the decomposition of requirements, architectures, and specifications of an autonomous ...

Agility Robotics

Senior Systems Engineer

Fremont, CA · On-site +1

$114K - $156K/yr

Experience integrating new software capabilities into autonomous systems Technical Skills * Strong proficiency with V-model systems engineering approaches, adapted for rapid development * Expert ...

ManTech International

Systems Engineer

$116K - $194K/yr

This is a remote position where you will lead the Model-Based Systems Engineering (MBSE) approach to developing systems models for a cutting-edge Proliferated Low Earth Orbit (PLEO) global ...

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

As of Jul 11, 2026, the average yearly pay for remote autonomous systems engineer in the United States is $127,215.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $157,000.00 per year, depending on experience, location, and employer.

What are Remote Autonomous Systems Engineers?

Remote Autonomous Systems Engineers are professionals who design, develop, and maintain autonomous systems—such as drones, robots, or vehicles—while working remotely. They use advanced software, sensors, and algorithms to ensure these systems can operate independently and safely. Their work involves tasks like programming control systems, integrating hardware components, and troubleshooting issues from a remote location. These engineers often collaborate with teams virtually and leverage cloud-based tools to monitor and update autonomous systems deployed in various environments.

What are some common challenges faced by Remote Autonomous Systems Engineers, and how can they be addressed?

Remote Autonomous Systems Engineers often encounter challenges related to communication and collaboration, as they work with multidisciplinary teams across different locations and time zones. Managing system integration and troubleshooting without on-site access can also pose difficulties, requiring strong documentation and remote diagnostic tools. Staying updated on rapidly evolving technologies in autonomy further demands ongoing learning. To address these challenges, engineers should leverage clear communication channels, utilize collaborative platforms, and participate in continuous training opportunities.

What are the key skills and qualifications needed to thrive as a Remote Autonomous Systems Engineer, and why are they important?

To thrive as a Remote Autonomous Systems Engineer, you need a strong background in robotics, control systems, programming (such as Python or C++), and a relevant engineering degree. Experience with simulation tools like ROS (Robot Operating System), MATLAB, and familiarity with machine learning or AI frameworks are typically required, along with certifications in automation or robotics being advantageous. Strong problem-solving skills, self-motivation, and effective remote communication set top candidates apart in this role. These skills and qualities are essential for designing, troubleshooting, and improving autonomous systems while collaborating efficiently within distributed teams.
More about Remote Autonomous Systems Engineer jobs
What cities are hiring for Remote Autonomous Systems Engineer jobs? Cities with the most Remote Autonomous Systems Engineer job openings:
What are the most commonly searched types of Autonomous Systems Engineer jobs? The most popular types of Autonomous Systems Engineer jobs are:
What states have the most Remote Autonomous Systems Engineer jobs? States with the most job openings for Remote Autonomous Systems Engineer jobs include:
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Remote Autonomous Systems Engineer jobs near you
Infographic showing various Remote Autonomous Systems Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Software Engineer, Autonomous Systems

Humble Robotics

San Francisco, CA • On-site, Remote

Full-time

Posted 10 days ago

Job description

About Humble Robotics

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

We’re a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don’t believe culture can be engineered – but when it falls into place, it’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 stack—from sensors and inference to developer tooling and fleet-facing systems—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-end—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 systems—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 field—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.