Job Description

We're a stealth robotics startup in Palo Alto hiring an engineer to define and ship a canonical Tactile Tensor and the reference SDK + conformance suite that makes tactile data reproducible, interoperable, and directly usable for robotics perception and foundation-model training.

Critical requirement: deterministic, byte-stable serialization + strict versioning, plus tokenization-ready interfaces (tensors → stable token streams) for Transformer-style robotics pipelines—without heavy dependencies.

What you'll do

  • Define the Tactile Tensor: units, coordinate frames, timestamps, shapes, uncertainty, required metadata, and forward/backward compatibility rules.
  • Build a lightweight reference SDK (Python and/or C++) that validates, serializes/deserializes, and produces identical outputs across platforms.
  • Specify training-grade data contracts: deterministic windowing/patching, normalization/quantization, and token schemas that are stable across s...

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