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Modular Robotics Jobs (NOW HIRING)

OffWorld

Senior RF/Antenna Engineer

Pasadena, CA · On-site

$114K - $156K/yr

OffWorld's first challenge is developing and maturing a modular robotic system for extreme environment applications on Earth--our robots will go deeper underground than humans can, eliminate the need ...

Samson Rose

$180 - $250/hr

Robotics Software Engineer Location: San Francisco Bay Area Employment Type: Full-Time Work ... Apply strong software engineering practices, including modular architecture, testing, version ...

Samson Rose

Robotics Software Engineer

San Francisco, CA · On-site

$180 - $250/hr

Robotics Software Engineer Location: San Francisco Bay Area Employment Type: Full-Time Work ... Apply strong software engineering practices, including modular architecture, testing, version ...

Johns Hopkins Applied Physics Laboratory

Develop robotics software for Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and other subsea robotic systems using ROS 2. * Design, implement, and maintain modular ...

Johns Hopkins Applied Physics Laboratory

$100K/yr

Develop robotics software for Autonomous Underwater Vehicles (AUVs), Remotely Operated Vehicles (ROVs), and other subsea robotic systems using ROS 2. * Design, implement, and maintain modular ...

LHi Group Ltd

Robotics Architect

Calumet, PA · On-site

Modular, distributed and real-time/near-real-time system design * CI/CD, Git, CMake, GDB, testing ... robotics systems are built, taking solutions from early technical discovery and design through ...

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Modular Robotics information

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$84K

$96K

$116.5K

How much do modular robotics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for modular robotics in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is modular robotics?

Modular robotics is a field of robotics focused on creating robots from multiple, independent modules that can connect, disconnect, and reconfigure themselves to perform different tasks. Each module usually contains its own power source, sensors, and actuators, allowing for flexibility and adaptability in building various robotic structures. This approach enables rapid prototyping, scalability, and adaptability for tasks ranging from industrial automation to exploration. Modular robots can self-repair or adapt to new environments by rearranging their modules. The technology is used in research, education, and increasingly in commercial applications.

What are the key skills and qualifications needed to thrive as a modular robotics engineer, and why are they important?

To thrive as a Modular Robotics Engineer, you need a solid background in mechanical engineering, computer science, and robotics, often supported by a relevant degree. Familiarity with CAD software, programming languages like Python or C++, and experience with robotics platforms such as ROS are typically required. Creative problem-solving, teamwork, and effective communication are crucial soft skills for innovating and collaborating on complex modular systems. These competencies ensure the successful design, integration, and deployment of adaptable robotic solutions in dynamic environments.

What are some common challenges faced by professionals working in modular robotics, and how can they be addressed?

Professionals in modular robotics often encounter challenges such as ensuring seamless communication between modules, managing complex integration tasks, and troubleshooting hardware or software compatibility issues. Addressing these challenges usually involves close collaboration with cross-disciplinary teams, including mechanical, electrical, and software engineers. Staying up-to-date with the latest protocols and modular standards, as well as adopting robust testing and simulation methods, can greatly improve system reliability and efficiency. Effective project management and open communication are also key to successfully navigating these hurdles.

What is the difference between Modular Robotics vs Robotics Technician?

AspectModular RoboticsRobotics Technician
Required CredentialsTypically a degree in robotics, engineering, or related fieldAssociate's or bachelor's in robotics, electronics, or mechanical tech
Work EnvironmentResearch labs, manufacturing, education, or design settingsIndustrial, manufacturing plants, or service environments
Employer & Industry UsageUsed in education, research, and custom automation projectsEmployed in factories, automation companies, and maintenance

Modular Robotics focuses on designing and creating adaptable robotic systems, often emphasizing innovation and research. Robotics Technicians primarily maintain, troubleshoot, and operate robotic systems in industrial settings. While both roles require technical knowledge, Modular Robotics is more design-oriented, whereas Robotics Technicians focus on operational support and maintenance.

More about Modular Robotics jobs

What states have the most Modular Robotics jobs?

States with the most job openings for Modular Robotics jobs include:

What job categories do people searching Modular Robotics jobs look for?

The top searched job categories for Modular Robotics jobs are:

Modular Robotics jobs near you
Infographic showing various Modular Robotics job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $96,000 per year, or $46.2 per hour.

Forward-Deployed Engineer (Robotics / Systems)

Dimensional Inc.

San Francisco, CA • On-site

$100 - $130/hr

Other

Re-posted 26 days ago

Job description

About Dimensional

Dimensional is building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act across diverse real‑world environments and embodiments. Dimensional’s mission is to make physical intelligence programmable, scalable, and accessible -- accelerating the development of generalist robots that can adapt, learn, and perform reliably in the real world.

Our platform sits between robot hardware and AI models, providing a modular, composable architecture for training and deploying robotic intelligence at scale. By abstracting hardware differences and standardizing core capabilities—such as perception, spatial understanding, decision‑making, and control—Dimensional allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms.

About This Role

We’re looking for a Forward‑Deployed Engineer to work directly at the intersection of customers, software, and physical robotic systems. This role is about closing the last 10%: taking cutting‑edge robotics software and making it work reliably in real‑world environments. You’ll partner closely with end users to understand their workflows, deploy systems in the wild, and translate real‑world constraints into product and engineering improvements. While experience with physical hardware is a plus, our core mission is to dramatically lower the barrier to deploying robots — strong software engineers with customer‑facing experience are encouraged to apply.

Core Responsibilities
  • Deploy, configure, and adapt the Dimensional robotics platform in real‑world customer environments.
  • Partner directly with users to gather requirements, understand operational constraints, and identify edge cases encountered in production.
  • Serve as a key interface between product, engineering, and customers, ensuring tight feedback loops and rapid iteration.
  • Own end‑to‑end real‑world implementations, from initial system setup and validation through stable, long‑term operation.
  • Contribute production‑quality, maintainable code to the core platform codebase, informed by deployment learnings.
  • Help define, document, and standardize best practices for deploying and operating robotic systems at scale.
What We Look For
  • Prior experience in forward‑deployed engineering, solutions engineering, or other customer‑facing technical roles.
  • Strong software engineering fundamentals, including the ability to design, implement, and maintain production‑quality systems.
  • Comfort working with real‑world systems characterized by incomplete information, hardware constraints, and operational uncertainty.
  • Demonstrated ability to translate ambiguous customer requirements into well‑defined technical solutions and execution plans.
  • Excellent written and verbal communication skills, with the ability to collaborate effectively with both technical and non‑technical stakeholders.
Preferred Qualifications
  • Demonstrated experience deploying and operating physical hardware systems in real‑world environments.
  • Professional background at forward‑deployed or deployment‑intensive organizations (e.g., Palantir, Anduril, or similar).
  • Prior exposure to robotics, embedded systems, automation, or related physical systems domains.
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