Research Engineer

Kovari•San Francisco, CA
•Onsite

About The Position

Kovari develops frontier technology to transform physical businesses. We partner with established operators to change how they run, and we build and operate businesses of our own through our subsidiaries. We are a small team of builders, operators, and researchers. We deploy on site, alongside the businesses we serve, and iterate in the field. We have raised over $6M from leading investors. We are based in San Francisco and work in person. The Role You will research and ship manipulation policies that work reliably in the field. You own the loop from data to model to deployment, and you see your policies run on robots in live operations.

Requirements

  • Experience deploying robot policies on hardware (model-based, RL, or imitation learning)
  • Sim-to-real or real robot data experience
  • Experience with multimodal inputs: vision, depth, force/torque, proprioception
  • Edge inference optimization with TensorRT, ONNX Runtime, or TVM
  • CUDA kernel optimization

Nice To Haves

  • Publications at CoRL, RSS, ICRA, NeurIPS, or similar

Responsibilities

  • Research and develop high-reliability manipulation policies built for fast deployment and iteration
  • Operate in a fast data flywheel across multiple modalities
  • Deep debug failure modes in transformer and diffusion policies deployed in the field
  • Optimize policies for real-time (~10 Hz) inference on edge hardware
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