Tactile Sensing Research Engineer | Hardware & Experiments

Bonfirevc

Palo Alto (CA)

On-site

USD 150,000 - 230,000

Full time

6 days ago
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Job summary

Orbifold AI in Palo Alto, CA is seeking a Research Engineer, Tactile Sensing to lead hardware-enabled tactile sensing research aimed at making touch a core modality for embodied AI. The role emphasizes building, instrumenting, and rigorously validating sensing hardware and data pipelines for publication-ready results.

The candidate will design and fabricate multi-axis force sensing modules, characterize performance, and benchmark across sensing modalities while ensuring reproducible data and

Qualifications

  • PhD or equivalent research experience in tactile sensing, soft robotics, haptics, mechatronics or related field.
  • First-author publications in relevant venues.
  • Experimental rigor with honest error bars.

Responsibilities

  • Run and defend real experiments with instrumentation and controls.
  • Design and fabricate sensing instrumentation and rigs.
  • Characterize test benches and quantify hysteresis, drift, and resolution.
  • Benchmark sensing modalities across multiple transduction methods.
  • Build calibration as a system with transfer functions and temperature compensation.
  • Define tactile data representation and data delivery alongside video, pose and action.

Skills

PhD in related field
First-author publications
Experimental rigor
Electronics fluency
Strong Python/PyTorch

Education

PhD or equivalent research experience

Tools

CAD
PCB design
Embedded firmware
I2C/SPI
Oscilloscope

Job description

Orbifold AI in Palo Alto, CA is seeking a Research Engineer, Tactile Sensing to lead hardware-enabled tactile sensing research aimed at making touch a core modality for embodied AI. The role emphasizes building, instrumenting, and rigorously validating sensing hardware and data pipelines for publication-ready results.

The candidate will design and fabricate multi-axis force sensing modules, characterize performance, and benchmark across sensing modalities while ensuring reproducible data and

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