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Motion Capture Research Engineer Jobs (NOW HIRING)

Human Archive

Research Engineer

San Francisco, CA · On-site

$100K - $200K/yr

The Opportunity As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion ... You'll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile ...

Human Archive

Research Engineer

San Francisco, CA · On-site

The Opportunity As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion ... You'll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile ...

Virtual Producer

Senior Motion Capture Technician

Orlando, FL · On-site

$99K - $113K/yr

You have an understanding of programming languages commonly used for motion capture pipelines, such as Python or C++. * You are willing to travel periodically to support production demand. Benefits ...

Shrinerschildrens

Motion Analysis Center Engineer

Erie, PA · On-site

$28.94 - $43.41/hr

... and research with global impact. We foster a learning environment that values evidenced based ... Experience with computer vision, markerless motion capture, or design and testing of ML models a ...

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Motion Capture Research Engineer information

What is a motion capture research engineer?

Motion Capture Research Engineers are professionals who develop and improve motion capture systems, which track and record the movement of objects or people. They work at the intersection of hardware, software, and data analysis, often creating algorithms and tools that translate movement into digital data for applications in animation, gaming, sports science, and biomechanics. Their responsibilities include system calibration, sensor integration, and data processing, as well as collaborating with animators, developers, and researchers to ensure accurate and usable motion data.

What are the key skills and qualifications needed to thrive as a motion capture research engineer?

To thrive as a Motion Capture Research Engineer, you need a strong background in computer science, biomechanics, or engineering, with expertise in motion capture technologies and data analysis. Familiarity with motion capture systems (such as Vicon or OptiTrack), programming languages (like Python or C++), and relevant software tools is typically required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with multidisciplinary teams are essential soft skills. These qualifications ensure accurate data collection, innovative research outcomes, and seamless integration of motion capture solutions in complex projects.

What are some common challenges motion capture research engineers face when integrating new motion capture technologies into existing workflows?

Motion Capture Research Engineers often encounter challenges when integrating new technologies due to compatibility issues with existing software, calibration complexities, and data accuracy concerns. Adapting workflows to accommodate evolving hardware or software can require significant testing and troubleshooting to ensure reliable performance. Collaboration with animators, developers, and technical artists is essential to address these issues and streamline the adoption of innovative solutions, making strong communication and problem-solving skills crucial for success in this role.

What are popular job titles related to Motion Capture Research Engineer jobs?

For Motion Capture Research Engineer jobs, the most frequently searched job titles are:

Infographic showing various Motion Capture Research Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Engineer

San Francisco, CA • On-site

Human Archive
See more jobs at Human Archiveexternal

$100K - $200K/yr

Full-time

Re-posted 21 days ago

Job description

About Human Archive
Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence.
Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence - including the human hand, proprioception, and vision - remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself.
Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability.
The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity.
We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.
The Opportunity
As a Research Engineer, you'll work on multimodal sensing systems and sensor fusion research for embodied AI and robotics. This role sits at the intersection of robotics, perception, hardware systems, and machine learning, where your work directly shapes how multimodal data is collected, synchronized, fused, and used for downstream VLA training.
You'll research emerging sensing technologies across RGB-D video, motion capture, IMUs, tactile sensing, audio, and wearable systems, and study how different sensor combinations impact robot learning, policy performance, and generalization. You'll work closely with hardware, ML, and research teams to design experiments, evaluate new sensing stacks, and help define the next generation of multimodal robotics datasets.
Your work will help shape how frontier labs and leading robotics companies train their models, transforming physical labor markets and economies while contributing to broader research into human embodied intelligence.
What You'll Do
  • Evaluate how different sensor modalities impact VLA training and downstream robotics performance
  • Work across RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems data
  • Design experiments around synchronization, calibration, fusion, and multimodal alignment
  • Prototype quickly and iterate from real-world robotics deployments and research feedback
  • Collaborate closely with hardware, ML, and research teams on next-generation sensing systems
What We're Looking For
  • Master's or PhD in robotics, computer vision, sensing systems, or related fields
  • Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI
  • Strong technical intuition around hardware systems and robot learning
  • Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems
  • Experience with reinforcement learning, real-world robot deployments, and how data impacts downstream policy performance
  • Highly curious, execution-oriented, and comfortable operating from first principles

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