Founding Software Engineer

Bracket BotSan Francisco, CA
Onsite

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. About the role 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)
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