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Wearable Robotics Engineer Jobs (NOW HIRING)

Meta

Research Engineer Robotics (Systems)

Redmond, WA

$183K/yr

... human wearable sensing systems.As a staff individual contributor, you will set the technical ... Research Engineer Robotics (Systems) Responsibilities: * Architect & Own Real-Time Robotic Systems:

Meta

Research Engineer Robotics (Systems)

Redmond, WA · On-site

$183K - $257K/yr

... human wearable sensing systems. As a staff individual contributor, you will set the technical ... D. in Robotics, Computer Science, Electrical Engineering, or related field • Demonstrated ongoing ...

Gritt

Robot Learning Engineer

South San Francisco, CA · On-site

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls ... You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have ...

Miso Robotics

Robotics Controls Engineer

Pasadena, CA · On-site

$91K - $117K/yr

We're engineering production-ready robotic systems that tightly integrate perception, real-time ... Optimize robot motion for cycle time, energy consumption, smoothness, and mechanical wear while ...

Human Archive

Head of Engineering

San Francisco, CA · On-site

$150K - $200K/yr

The engineer in this role will own integration across all layers of the system and drive ... Experience working on robotics, embodied AI, multimodal sensing, or large-scale wearable systems ...

Medra

Robotics Software Engineer

San Francisco, CA · On-site

As a team, we love nerding out about engineering and robotics - plus other topics like race cars or ... A willingness to wear many hats / a flexible attitude towards responsibilities and scope * BS/MS/Ph.

GABLETEK

Kawasaki Robot Programmer

Troy, MI · On-site

Field Service Maintenance & Automation Technician (Kawasaki Robotics) - Spartanburg, SC Location ... Must be able to wear appropriate PPE (steel-toe boots, hard hat, etc.). Preferred Experience * ABB ...

GABLETEK

Kawasaki Robot Programmer

Troy, MI · On-site

Field Service Maintenance & Automation Technician (Kawasaki Robotics) - Spartanburg, SC Location ... Must be able to wear appropriate PPE (steel-toe boots, hard hat, etc.). Preferred Experience * ABB ...

ESAB

Application Engineer, Robotics

Denton, TX · On-site

We are looking to hire a Technical Application Engineer, Robotics to support our ESAB product line ... Must wear Personal Protective Equipment (PPE) when working in or visiting manufacturing and plant ...

ESAB

Application Engineer, Robotics

Denton, TX

We are looking to hire a Technical Application Engineer, Robotics to support our ESAB product line ... Must wear Personal Protective Equipment (PPE) when working in or visiting manufacturing and plant ...

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Wearable Robotics Engineer information

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$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.

Research Engineer Robotics (Systems)

Redmond, WA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$183K/yr

Full-time

Re-posted 4 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Reality Labs Research (RL-R) brings together a diverse and highly interdisciplinary team of researchers and engineers to create the future of dexterous robotic manipulation.We are seeking a staff Research Engineer with deep expertise in software engineering, robotic systems integration, and machine learning. This role is highly interdisciplinary — you will own the end-to-end technical architecture spanning full-stack robotics development, deployment of learned control policies, and hands-on integration of robotic embodiments with human wearable sensing systems.As a staff individual contributor, you will set the technical direction for complex multi-disciplinary systems, drive innovations that bridge research and production, and mentor engineers across teams. You'll collaborate closely with researchers, engineers, and designers, leveraging cutting-edge technology and advanced research facilities.
Research Engineer Robotics (Systems) Responsibilities:
  • Architect & Own Real-Time Robotic Systems: Design and maintain real-time dexterous manipulation pipelines that integrate perception, planning, and control across multiple robotic platforms. Drive architectural decisions that enable rapid research iteration at scale
  • Lead Data Capture & Retargeting Infrastructure: Architect motion capture integration, novel hardware prototypes, and human demonstration data collection systems. Build scalable processing pipelines for large multimodal datasets that enable efficient model training and real2sim transfer
  • Drive ML-Systems Integration: Deploy and iterate on learned control policies (imitation learning, MPC, reinforcement learning) within full robotic systems. Partner with research teams to bridge the gap between algorithmic advances and real-world system performance
  • Optimize Performance & System Reliability: Own runtime performance, debug complex system behaviors across the stack, and develop interactive demos and benchmarks that demonstrate research progress
  • Set Technical Direction: Identify and drive cross-cutting technical improvements. Influence roadmap and priorities through deep system understanding and proactive problem identification
  • Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader team

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Bachelor's degree in Computer Science, Computer Engineering, Robotics, or related technical field (or equivalent practical experience)
  • 5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings
  • Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning)
  • Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems
  • Track record of driving complex, ambiguous technical projects from conception through delivery with minimal direction
  • Experience communicating technical decisions and system designs to cross-functional stakeholders across research and engineering functions (e.g., design documents, technical reviews, project proposals)

Preferred Qualifications:
  • Experience building and operating systems that bridge research exploration and reliable deployment
  • Background in computer vision, imitation learning, reinforcement learning, model-predictive control, or sim-to-real transfer
  • Master's or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience in dexterous manipulation, learned robotic policy deployment, or control theory applied to real hardware
  • Experience designing data collection protocols and building high-quality ML datasets at scale
  • History of mentoring engineers and influencing technical direction beyond your immediate team
  • Deep familiarity with robotics frameworks (e.g., ROS/ROS2) and real-time robotic control systems
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$183,997/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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