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Wearable Robotics Engineer Jobs (NOW HIRING)

As a Robotic Data Collection Tester, you'll wear a head-mounted camera and follow easy instructions ... No robotics programming experience may be required; attention to detail and comfort being recorded ...

Product Design Engineer

San Francisco, CA · On-site

$152K - $182K/yr

... wearable robotic device , the MO/GO , develop a platform to launch future Movewear products and ... We are a flat team of 22 phenomenal and senior engineers, where everyone contributes directly to ...

Product Design Engineer

San Francisco, CA · On-site

$160K - $210K/yr

... wearable robotic device , the MO/GO , develop a platform to launch future Movewear products and ... We are a flat team of 22 phenomenal and senior engineers, where everyone contributes directly to ...

... engineering, robotics software, backend engineering, infrastructure, or field engineering ... Experience with wearables, scanners, or warehouse hardware

We are seeking a highly motivated and adaptable backend engineer to own the systems powering a new generation of wearable robots. from APIs and data pipelines connecting devices to the cloud, to the ...

Firmware Engineer

San Francisco, CA · On-site +1

$180K - $240K/yr

... wearable robotic device, the MO/GO, develop a platform to launch future Movewear products and ... We are a team of 22 phenomenal senior engineers and product leaders, where everyone contributes ...

... engineering, robotics software, backend engineering, infrastructure, or field engineering ... Experience with wearables, scanners, or warehouse hardware #J-18808-Ljbffr

Product Design Engineer

San Francisco, CA · On-site

$160K - $210K/yr

... wearable robotic device , the MO/GO , develop a platform to launch future Movewear products and ... We are a flat team of 22 phenomenal and senior engineers, where everyone contributes directly to ...

... wearable robotic device , the MO/GO , develop a platform to launch future Movewear products and ... The mechatronics systems engineer would primarily be responsible for the design, development ...

Showing results 41-60

Wearable Robotics Engineer information

See salary details

$29K

$105.6K

$169K

How much do wearable robotics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for wearable robotics engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is a wearable robotics engineer?

A Wearable Robotics Engineer is a professional who designs, develops, and tests robotic devices that can be worn on the human body, such as exoskeletons, prosthetics, and assistive suits. These engineers combine knowledge from robotics, biomechanics, electronics, and software to create wearable technologies that help enhance human movement, strength, or rehabilitation. They collaborate with multidisciplinary teams to ensure the devices are comfortable, safe, and effective for users. Their work often involves prototyping, programming, and integrating sensors and actuators into wearable systems.

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

To thrive as a Wearable Robotics Engineer, you need a strong background in mechanical/electrical engineering, biomechanics, and robotics, typically supported by a relevant engineering degree. Familiarity with CAD software, embedded systems, sensor integration, and experience with prototyping tools are commonly required, along with certifications in robotics or biomedical engineering being advantageous. Excellent problem-solving, teamwork, and communication skills make a candidate stand out, especially when collaborating across multidisciplinary teams. These skills and qualities are crucial for developing innovative, user-friendly wearable robotic devices that safely and effectively assist or augment human movement.

What are some common challenges faced by wearable robotics engineers when integrating new technology into assistive devices?

Wearable Robotics Engineers often encounter challenges such as balancing device functionality with user comfort, ensuring reliable sensor integration, and maintaining battery life for extended use. They must also address issues related to real-time data processing and adaptability of the device to different users' needs and anatomies. Collaboration with clinicians, end-users, and multidisciplinary teams is essential to gather feedback and fine-tune prototypes, making strong communication and problem-solving skills crucial in this role.

What is the difference between Wearable Robotics Engineer vs Prosthetics Engineer?

AspectWearable Robotics EngineerProsthetics Engineer
Required CredentialsBachelor's or Master's in Robotics, Mechanical, or Electrical EngineeringBachelor's or Master's in Biomedical Engineering or Prosthetics & Orthotics
Work EnvironmentResearch labs, tech companies, healthcare startupsHospitals, clinics, prosthetics manufacturing facilities
Industry UsageDevelops wearable robotic devices for assistance or augmentationDesigns and fits prosthetic limbs for patients

Wearable Robotics Engineers focus on creating devices that assist or enhance human movement using robotics technology, often working in research and development settings. Prosthetics Engineers specialize in designing and fitting artificial limbs for patients, primarily within healthcare environments. While both roles require engineering expertise and knowledge of biomechanics, their applications and work settings differ significantly.

What are popular job titles related to Wearable Robotics Engineer jobs?

For Wearable Robotics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Wearable Robotics Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Robotics Hardware Reliability Engineer

Redwood City, CA • On-site

$160K - $200K/yr

Full-time

Re-posted 6 days ago


Key responsibilities

  • Root-cause complex hardware failures across the robot fleet, including actuator dropouts, encoder drift, thermal events, CAN bus faults, and control-stack bugs.

  • Work hands-on with hardware by bench-testing, repairing, re-commissioning components, and designing mechanical fixtures and modifications.

  • Build and implement fleet health metrics, develop calibration and test tooling, and manage robot telemetry data extraction and monitoring.


Job description

Dyna Robotics builds general-purpose robots powered by a proprietary embodied AI foundation model with top-in-industry generalization and real-world performance. Already deployed with customers across multiple industries, our robots do commercial-grade work in the physical world. Our team comes from Google DeepMind, Meta, and Cruise, and we're backed by CRV, First Round, and other leading investors.
About the role
We are looking for an engineer to own the health of our humanoid robot fleet, from root-causing a single hardware failure at the bench to building the telemetry and tooling that catches degradation before it becomes downtime.
This is a genuinely hands-on role. The same person who writes the fleet-wide degradation analysis should be comfortable pulling an arm off a robot, probing a suspect driver board, soldering a fix, and designing the bracket that makes the repair stick. You will sit at the intersection of hardware, firmware, controls, and data infrastructure, and you will be the person the team calls when a robot does something nobody can explain.
What You'll Do
  • Root-cause complex failures across the fleet. Actuator dropouts, encoder and calibration drift, thermal events, CAN bus faults, and control-stack bugs, separating genuine hardware degradation from firmware, calibration, and model-side causes.
  • Work hands-on with the hardware. Bench-test suspect actuators and electronics, rework and repair (soldering, harness and connector work), swap and re-commission components, and run physical validation with calipers, test fixtures, and boot and power-cycle rigs you build yourself.
  • Design and build the mechanical pieces. Take test fixtures, jigs, brackets, mounts, and small modifications to fielded robots from concept through fabrication, whether 3D printed or through the shop or a vendor.
  • Turn mechanical evidence into design changes. Reason from your data about backlash, windup, gear wear, preload, and hard-stop behavior, and feed that back as concrete changes. The mechanical team owns major structural design and simulation, so you will work closely with them and with vendor models and joint-limit specs.
  • Build and roll out fleet health metrics. Maintenance indices, hold-current precursors, backlash and deadband tracking, and bus-error monitoring, with alert rules tuned to fire on real faults rather than noise floors.
  • Develop calibration and test tooling. Calibration tools with safety gates, characterization sweeps for new hardware revisions, and pre-merge validation harnesses for firmware and software changes.
  • Wrangle robot telemetry at scale. Extract and decode logs (MCAP, npz, episode archives) from bandwidth-constrained robots, close gaps in the telemetry pipeline, and build the monitoring that should have existed already.
  • Write things down and hand them off. Runbooks, SOPs, incident reports, and handoff packages clean enough that a teammate can pick the work up cold.
  • Review PRs and propose fixes. Across firmware defaults, control code, and deployment configuration, catching interaction bugs between calibration tools, boot checks, and safety gates.

What You'll Bring
  • 3 to 5 years in robotics, mechatronics, hardware test, or reliability engineering, with significant time on fielded hardware rather than lab prototypes.
  • Genuinely hands-on instincts. You are comfortable at the bench with a soldering iron, multimeter, and calipers, and you can tear down, repair, and re-commission electromechanical assemblies without waiting on another team.
  • An understanding of how actuators fail mechanically, including backlash, wear, preload loss, and end-stop damage, and the ability to connect physical evidence to design causes. You will not be doing large structural design or FEA, but you should hold your own in a design review.
  • Working knowledge of robot control: impedance and torque-controlled actuators, force-control parameters, and controller state lifecycles (boot, e-stop, reconnect). Enough to tune deployed behavior and recognize when a "hardware" fault is actually a controls bug. You do not need to design controllers from scratch.
  • Strong Python for data analysis and tooling, plus solid time-series and signal-statistics instincts around noise floors, drift, persistence rules, and spotting when an alert is just a tiny denominator.
  • Fluency with actuators and motor control: quasi-direct-drive systems, encoders, torque and current telemetry, CAN, and calibration and zeroing procedures.
  • Experience with observability stacks (Datadog or similar) and git and PR-based workflows.
  • Rigor about evidence. You distinguish measured from commanded and correlation from cause, and you will not ship a conclusion or set a baseline on contaminated data.
  • A bias toward small, verifiable scope. You deliver the stated goal, flag adjacent issues once, and do not gold-plate.
Bonus points for
  • Experience with teleoperation systems, VR interfaces, or data-collection fleets.
  • Prior work on hardware qualification (EVT, DVT, PVT) or manufacturing and incoming test.
  • Simulation sanity-checking in MuJoCo.
  • A track record of building tools and SOPs that other engineers actually adopt.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.
Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about robotics, no matter your discipline, we want to hear from you, even if you don't check every box.