Senior/Staff Software Engineer, Voice AI
Lightberry · San Francisco, CA, US
Job Description
Humanoid robots doing backflips are super cool, but to be useful they need to be able to listen, communicate, and operate in the world. Your role in our organization would be to help make that a reality by developing the cloud-based side of our robots that makes them intelligently understand the people interacting with them.
What you'll do
- Use robots that cost more than most cars to evaluate and test new features
- Iterate on software deployed to customer's robots in the real world
- Improve our composite voice pipelines using the latest state of the art models
- Add and improve features like knowledge storage/retrieval, smarter turn taking, automatic personality tuning
- Create clever approaches to reducing latency and make interactions feel more natural
What we’re looking for
- Experience with cloud development (AWS, GCP, Kubernetes)
- Experience with latency sensitive applications (voice pipelines, video games, streaming)
- Experience with voice AI
- High ownership of product features
- Addiction to observability metrics
- Excellent taste in developer tooling
Technology
- Our cloud code is primarily Python 3.14 and it uses a custom UDP-based streaming protocol to communicate with the robots
- We deploy at edge locations across the world in GCP and AWS
Who will you work with
- Self driving engineers from Argo, repeat YC founders, CERN physicist, Emmy winning animators
- Previously built: a web browser (SigmaOS), self-driving cars (Argo), radiation detectors on the ISS, and more.
Why we are working on this - and why you should!
- Robots should feel like C3PO or Wall-E, not Terminator or iRobot
- We started solving voice for hardware - now we work with the biggest humanoid companies in the world
- Robots and people must work side-by-side and therefore robots must be delightful
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