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Remote Autonomous Systems Engineer Jobs (NOW HIRING)

MLabs

Distributed Systems Engineer

$180K - $300K/yr

Location: Remote - Flexible work location (Preference is North America) Remote Full-time ... Autonomy: A track record of taking end-to-end ownership of products or systems in ambiguous ...

SAIC

Systems Engineer

Chantilly, VA · On-site +1

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Systems Engineer to work on complex projects crucial to our national security objectives. They will provide Systems ...

Atlas Technica

Systems Engineer (Remote)

Boston, MA · Remote

Systems Engineer - Hybrid Reports to: Client Technology Manager Location: Boston, MA Type: Full-Time Hourly, Non-Exempt Atlas Technica's mission is to shoulder IT management, user support, and ...

Booz Allen Hamilton, Inc.

Systems Engineer

Huntsville, AL · On-site +1

$61K - $141K/yr

Remote Work: Hybrid Job Number: R0239913 Location: Huntsville,AL,US Share job via: Share Systems Engineer The Opportunity : Are you looking for an opportunity to combine your technical skills with ...

Apogee Engineering, LLC

Systems Engineer

Tampa, FL · On-site +1

Apogee is seeking Systems Engineers to be located at MacDill AFB, FL in support of the Special ... MacDill AFB, FL On-site/Hybrid/Remote: On-Site Travel: 25% Employment Type: FULL_TIME

Booz Allen Hamilton, Inc.

Systems Engineer

Albuquerque, NM · On-site +1

$52K - $108K/yr

Remote Work: Hybrid Job Number: R0242699 Location: Albuquerque,NM,US Share job via: Share Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical skills with ...

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Remote Autonomous Systems Engineer information

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$53.5K

$127.2K

$167K

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

As of Jul 26, 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:
What job categories do people searching Remote Autonomous Systems Engineer jobs look for? The top searched job categories for Remote Autonomous Systems Engineer jobs are:
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 1% As Needed, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,215 per year, or $61.2 per hour.

Distributed Systems Engineer

MLabs

Remote

$180K - $300K/yr

Full-time

Posted 29 days ago

Job description

Location: Remote - Flexible work location (Preference is North America)
Remote Full-time
Compensation: $180K - $300K
We are hiring on behalf of our client who is an innovative organization building the next generation of market infrastructure to redefine how value is discovered, priced, and distributed in real time. The mission centers on bringing structure, transparency, and efficiency to systems where value is currently fragmented and opaque.
Operating at the intersection of distributed systems, market structure, and applied cryptography, the firm is defining a new category for MEV distribution that merges economic efficiency with emerging regulatory frameworks. Based in New York and San Francisco, the organization consists of a high-leverage team focused on building systems that impact real-world economic flows.
The successful candidate will design and build core systems from first principles. This is an opportunity to turn ambiguous problems into production-grade infrastructure, defining architecture and making critical tradeoffs in a fast-moving environment. The role involves working across the full stack of real-time distributed systems, including data ingestion, low-latency execution, and auction mechanisms.
Key Responsibilities
  • System Architecture: Design and implement the core system architecture for a real-time, high-stakes distributed platform.
  • End-to-End Ownership: Own systems from initial concept and design through implementation and production deployment.
  • Technical Problem Solving: Translate ambiguous, high-level objectives into concrete, scalable technical solutions.
  • Performance Optimization: Identify and resolve performance bottlenecks, latency constraints, and complex system failures.
  • Technical Leadership: Drive technical direction across various components and services while establishing engineering best practices and code quality standards.
  • Collaboration: Work closely with product and business functions to ensure technical decisions align with intended economic outcomes.
  • Cultural Impact: Define engineering standards, influence future hiring, and set the cultural bar for the engineering organization.

Requirements
  • Systems Programming: Advanced proficiency in Rust and strong systems programming experience.
  • Distributed Systems: Extensive experience building or operating distributed systems with real-world constraints regarding latency, scale, and fault tolerance.
  • Architecture & Design: A proven ability to design complex systems from scratch, demonstrating a strong intuition for tradeoffs between performance, complexity, and reliability.
  • Autonomy: A track record of taking end-to-end ownership of products or systems in ambiguous environments with minimal structure.
  • Modern Workflows: Experience leveraging AI tools and agent-based workflows to accelerate the development lifecycle.

Preferred Qualifications
  • Background in systems where both correctness and low latency are mission-critical.
  • Experience with blockchain consensus internals, validator client architecture, or low-level protocol development.
  • Familiarity with virtual machines or low-level execution environments.

Benefits
  • Competitive Compensation: Competitive base salary commensurate with experience.
  • Equity: Significant equity stake as an early member of the engineering team.
  • High Impact: Opportunity to shape the foundational engineering culture and build systems that mediate real economic flows.

Interview Process
The following stages outline the evaluation process for this role:
  1. Initial Interview: A discussion with the Founder/CEO to align on vision and role expectations.
  2. Technical Assignment: A take-home assignment designed to evaluate practical problem-solving and architectural skills.
  3. Technical Review: A deep-dive interview focused on the review of the take-home assignment and broader technical expertise.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
Commitment to Equality and Accessibility:
At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

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