Founding Software Engineer
Wispr AI - San Francisco, CA
posted about 13 hours ago
About the position
At Wispr Flow, we're building voice intelligence that truly understands you. Our team of designers, AI researchers, and engineers is crafting voice interfaces that are both useful and ubiquitous, paving the way for a future where voice-first experiences replace screen-first technologies. Our first product, Flow, has become the first consumer voice dictation platform that makes people want to use voice more than their keyboards. And we're just getting started. We've raised $26M from top-tier VCs like NEA and 8VC. Our angels and advisors include Chester Chipperfield (product lead for the first Apple Watch), Arash Ferdowsi (CTO, Dropbox), and Will Ahmed (CEO, Whoop). Our founders are Stanford alums and have previously sold a company and run a team at a deep tech startup with over 100M in funding. As a software engineer at Wispr, you'll build the software platform for the next generation of consumer electronics. You'll be working across the stack (frontend, backend, mobile, occasional dev-ops). Hard requirement: Send us your best personal projects. We value being action-biased and a hacker mindset to build things quickly. We use the best and latest tools to get the job done. We maintain beautifully organized codebases with minimal technical debt. We work with a pragmatic outlook at the frontiers of technology, bringing it to the hands of millions of people. If that interests you, drop us a note. Let's build magic.
Responsibilities
- Build Wispr's software platform across devices
- Iterate fast with user feedback to build sticky experiences
- Setup best engineering practices (testing, abstractions, design docs)
- Build software for the latest Wispr hardware as it rolls off the press
Requirements
- Built full-stack personal projects or contributed to open source (send your best)
- Care towards code quality and UX
- MS or BS in computer science or related engineering field
- Proficient in Python, React, AWS (or equivalent)
- Strong programming practices and high-throughput of code across the stack
- Outstanding team player and communicator
Nice-to-haves
- Low level systems hacking experience, parallel programming experience
- Experience working on data pipelines for ML
- Experience with audio, bio-signals, or NLP
- Experience with data science, visualizations, and ML
Benefits
- Generous health, dental, and vision coverage
- Generous parental leave
- Unlimited PTO (we encourage taking days off!)
- 401k match
- Commuter benefits
- Relocation assistance
