Tactile Sensing Research Engineer — Build Real-World Touch

Orbifold AI, Inc.

Palo Alto (CA)

On-site

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Orbifold AI is seeking a PhD-level researcher to advance tactile sensing and soft robotics. You will design, fabricate, and validate sensor hardware, build end-to-end test rigs, and push cross-sensor benchmarks and datasets.

The role centers on producing rigorous, publishable results that define the field's standards. You will own the instrumentation, calibrations, and data pipelines needed to compare resistive, capacitive, piezoresistive, magnetic and vision-based sensing across manipulation

Qualifications

  • PhD or equivalent research experience in tactile sensing, soft robotics, haptics, mechatronics or closely related field.
  • First-author publications in venues such as ICRA, IROS, RSS, CoRL, RoboSoft or IEEE Transactions on Haptics.
  • Hands-on hardware record: designed, fabricated and validated sensing/actuation systems.

Responsibilities

  • Run the research agenda above as real experiments: hypothesis, instrumentation, controls, and a defendable result.
  • Design and fabricate the instrumentation your experiments need.
  • Characterize rigorously: build test benches, measure hysteresis, creep, drift, temperature sensitivity and cross-talk.
  • Publish results internally and contribute to benchmarks, datasets, and methods.

Skills

Python
PyTorch
CAD
Embedded firmware

Education

PhD in tactile sensing or related field

Tools

PCB design
I2C
SPI
Sensor interfaces

Job description

Orbifold AI is seeking a PhD-level researcher to advance tactile sensing and soft robotics. You will design, fabricate, and validate sensor hardware, build end-to-end test rigs, and push cross-sensor benchmarks and datasets.

The role centers on producing rigorous, publishable results that define the field's standards. You will own the instrumentation, calibrations, and data pipelines needed to compare resistive, capacitive, piezoresistive, magnetic and vision-based sensing across manipulation

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