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Remote Robot Operating System Jobs (NOW HIRING)

Serve Robotics

Remote Supervision Coordinator

Miami, FL · On-site +1

$55K - $64K/yr

Ability to follow standard operating procedures and make decisions within defined guidelines ... Interest in robotics, autonomous systems, or emerging technology Additional Information * Work ...

United Airlines

Robotics System Architect

Dallas, TX · On-site +1

$82K - $192K/yr

Lehi, Utah / Dallas-Fort Worth Texas / Remote with ability to travel to one of the sites on need basis We are seeking an innovative and experienced Robotics System Architect to join our Haulage ...

Creative G C

Mainframe z/OS System Programmer

Columbia, MD · Remote

$56.25 - $71.75/hr

Remote Duration: 12+ Months Contract Task Description: As an US Citizen and as a Senior System Programmer (Mainframe) supporting IBM z15 and z16 mainframe and z/OS 2.5 or higher operating system. As ...

Volto USA

MES Scada Engineer _Remote

Santa Clara, CA · Remote

Seattle (REMOTE 100% / Could be traveling to different locations) Duration: 6 months Role ... The responsibilities include working with Electric Utilities or ISOs (Independent System Operators ...

SAIC

Information System Security Officer

Washington, DC · Remote

$120K - $160K/yr

ORA_REMOTE Description SAIC is seeking an Information System Security Officer (ISSO) for our team ... Operating system and network knowledge (i.e., Local Area Networks [LAN] and Wide Area Networks [WAN]

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How much do remote robot operating system jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote robot operating system in the United States is $18.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $20.43 per hour, depending on experience, location, and employer.

What is the difference between Remote Robot Operating System vs Remote Robotics Technician?

AspectRemote Robot Operating SystemRemote Robotics Technician
CredentialsKnowledge of ROS, programming skillsTechnical diploma or degree, robotics certifications
Work EnvironmentSoftware development, system integrationField support, troubleshooting remotely
Industry UsageRobotics software development companiesManufacturing, research labs, automation firms
Search IntentLearning about robotics software frameworksFinding remote robotics support jobs

Remote Robot Operating System focuses on developing and managing robotics software frameworks like ROS, while Remote Robotics Technicians handle remote troubleshooting and maintenance of robotic systems. Both roles require technical skills but differ in their primary functions and work environments.

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Remote Robot Operating System jobs near you
Infographic showing various Remote Robot Operating System job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% Remote job distribution, with an average salary of $38,877 per year, or $18.7 per hour.

Staff Machine Learning Engineer - AV Labs

Uber Technologies, Inc.

Sunnyvale, CA • On-site, Remote

Full-time

Retirement

Re-posted 3 days ago

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 116 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race-and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Senior ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar.

As a Staff ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will set the technical direction for the development and implementation of machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior. You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization.

What the Candidate Will Do

Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems:

  • Algorithm Development: Lead the strategy for development of autonomy algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake.
  • Architecture & System Design: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data.
  • Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams.
  • Platform Evolution: Define the requirements for high-quality datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research.
  • Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale.
Basic Qualifications
  • 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry.
  • Proven experience leading large-scale technical projects from conception to production.
  • Bachelor's degree in Computer Science, Computer Engineering, or related fields.
  • Expert-level proficiency in Python and Linux environments.
  • Deep expertise in modern AI/ML frameworks (e.g., PyTorch).
Preferred Qualifications
  • PhD degree in Computer Vision, Robotics, or Machine Learning with a focus on Autonomous Driving.
  • Extensive experience with C++, CUDA, and high-performance system optimization.
  • Deep understanding of the Robot Operating System (ROS) or similar autonomous middleware.
  • Recognized expertise in the field (e.g., publications in CVPR, NeurIPS, ICRA or patents related to AV).
  • Experience building and scaling "Foundation Models" for physical world interaction.
~~ ~~

Ready to Ride?


This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.


You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.


Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.


Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.

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