Research Engineer at humanarchive

Department: Software

Compensation

$100,000 – $200,000/yr

Location: San Francisco, California
Level: not_specified
Posted: May 9, 2026

Description

Human Archive is hiring a Research Engineer to develop multimodal sensing systems and sensor fusion research for embodied AI and robotics. The role evaluates RGB-D video, IMUs, motion capture, tactile sensing, audio, and wearable systems; designs experiments around synchronization, calibration, fusion, and multimodal alignment; prototypes from real-world deployments; and collaborates with hardware, machine learning, and research teams to improve robot learning, policy performance, and multimodal datasets.

Required Skills

Sensor fusion
RGB-D video
IMUs
Motion capture
Tactile sensing
Reinforcement learning
Robot learning

Additional Information

Minimum Education: Master’s or PhD in robotics, computer vision, sensing systems, or a related field
Required Previous Experiences: Published research in sensor fusion, perception systems, multimodal datasets, or embodied AI
Experience with RGB-D video, IMUs, motion capture, tactile sensing, or robotics systems
Experience with reinforcement learning, real-world robot deployments, and data impact on downstream policy performance
Preferred Qualifications: Strong technical intuition around hardware systems and robot learning
Curiosity, execution orientation, and first-principles thinking

About humanarchive

humanarchive

Physical AI

Human Archive is a data and deployments infrastructure company for Physical AI. Its datasets are described as foundational infrastructure for automating manual labor and advancing understanding of the brain, cognition, spatial computing, and prosthetics. Researchers can request a customer dashboard and samples; available data includes RGB, RGB-D, audio, tactile, mocap, and robot data. The team identifies itself as researchers from named universities and robotics groups, and says it is backed by Y Combinator and top Silicon Valley Investors.

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