Research Engineer, Human Biomechanics

Relari
San Francisco
Workplace: OnsiteFull timeUSD 125,000 - 175,000 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsSkills: ["Problem-solving","Quantitative thinking"]

Design experiments and build computational representations that connect human neuromuscular signals to forces, tactile/pressure sensing, motion, and touch feedback. Develop signal-processing and learning methods for synchronized biomechanical and sensor data, including calibration and domain-adaptation across people, sessions, and robot embodiments. Partner with robot-learning researchers to validate whether physical-interaction representations improve policy behavior and cross-embodiment transfer, influencing sensing hardware and measurement systems.

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Relari
Relari
2 days ago

Research Engineer, Human Biomechanics

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Last checked: 8 hours agoStatus: Live

Job Summary

Design experiments and build computational representations that connect human neuromuscular signals to forces, tactile/pressure sensing, motion, and touch feedback. Develop signal-processing and learning methods for synchronized biomechanical and sensor data, including calibration and domain-adaptation across people, sessions, and robot embodiments. Partner with robot-learning researchers to validate whether physical-interaction representations improve policy behavior and cross-embodiment transfer, influencing sensing hardware and measurement systems.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Develop signal-processing and learning methods for synchronized EMG, force, tactile, pressure, motion, and visual data.
  • •Design experiments and sensor configurations to capture how humans regulate contact, stability, coordination, and effort during manipulation.
  • •Build multimodal representations connecting neuromuscular activity with external forces and touch feedback.
  • •Create calibration and domain-adaptation methods that remain reliable across people, sessions, tasks, and sensor configurations.
  • •Develop data-collection protocols grounded in biomechanics and downstream robot-learning needs, collaborating to test representation impact on policy behavior and cross-embodiment transfer.

Pay and Benefits

Salary: USD 125,000 - 175,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Research or engineering depth in biomechanics, neuroengineering, biomedical engineering, motor control, computational neuroscience, haptics, kinesiology, or a related field.
  • •Hands-on experience collecting and analyzing biomechanical/physiological data such as EMG, force, pressure, tactile sensing, motion capture, or wearable-sensor data.
  • •Strong quantitative skills in signal processing, statistics, time-series modeling, sensor fusion, or machine learning.
  • •Fluency in Python and the ability to build reliable modeling pipelines around imperfect, synchronized sensor data.
  • •Interest in connecting human physical interaction with learned robot behavior; a PhD is welcome but not required when equivalent depth is demonstrated through other work.
Experience:3+ years
Skills:Problem-solvingQuantitative thinking
Tech Stack:PythonEMGMachine learningSignal processingTime-series modelingSensor fusion

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Relari
Relari (Nuvi) provides a developer-focused observability platform that uses telemetry and AI to detect, explain, and prioritize incidents for cloud-native applications, accelerating root cause analysis and enabling automated incident response for engineering teams.
Industry: Developer Tools
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
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