Founding Software Engineer

Bracket Bot Inc.San Francisco, CA
Hybrid

About The Position

Bracket Bot is building low-cost, general-purpose robots that developers can program and deploy in days. We’re transforming the world’s ~50 million software engineers into robotics engineers by building a full-stack platform—hardware, software, and ML—designed from first principles for performance, usability, and cost. Low expense is a design goal, not a constraint. By transforming commodity, mass-manufactured components through disciplined engineering, we deliver robots that are reliable, high-performance, and inexpensive to build and operate. We believe fewer than 1,000 engineers globally can reason about robotics as a true vertically-integrated system, and we’re assembling a small team of them to build an accessible, developer-first robotics platform. We’re backed by an amazing group of investors, co-led by Fifty Years (Scott Phoenix) and BoxGroup, with participation from Betaworks and Pace Capital, plus standout angels including Logan Kilpatrick (Google AI), Mohith Mothukuri (Physical Intelligence), and Guillermo Rauch (Vercel). Bracket Bot is building a low-expense, high-performance robotics platform ready for real-world deployment. Real-time voice interaction is a major product bottleneck for us. We’re hiring a Founding Software Engineer to own the full audio pipeline — from microphones to ML to SDK integration — under strict latency constraints.

Requirements

  • Strong software engineering fundamentals
  • Applied ML experience (especially real-time systems)
  • Intuition for latency, buffering, and streaming
  • Willingness to learn adjacent layers (firmware / DSP)

Nice To Haves

  • Audio/speech experience
  • DSP or embedded systems exposure
  • Experience with real-time voice models

Responsibilities

  • Own the software + ML side of the audio stack
  • Voice-to-voice models (e.g. real-time speech systems)
  • Low-latency audio pipelines (~10ms constraints)
  • SDK integration and developer experience
  • Work with ML speech / TTS / STT systems (e.g. Coqui TTS, modern speech models)
  • Learn and interface with firmware / DSP when needed
  • Collaborate closely with EE (who owns PCBs + hardware)
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service