Software Engineer
Hike Medical
- Pay
- $175K to $225K
- a year
- Location
- San Francisco, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 4
- 1 day ago
Career path
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About the company
Hike Medical
Internet · 11 to 50 employees
Hike Medical is building the defining company in musculoskeletal care. We sit at the intersection of AI, robotics, and healthcare, operating across three product lines: a proprietary AI-vision platform that turns a 30-second, web-based foot scan into custom 3D-printed orthotics; an AI agent platform that automates the entire DME workflow from pre-visit processing through claims and revenue cycle; and SoleForge, our vertically integrated 3D-printing factory producing custom medical devices at a scale the industry has never seen. Insoles today, full DME tomorrow, bionics by 2040. Custom insoles are just the wedge. Our long-term vision is bionics: AI-designed, robotically manufactured orthotic and prosthetic devices at scale, replacing a fragmented, manual industry that hasn’t changed in decades. Read the full vision at bionics2040.com http://bionics2040.com. We've stealthily raised $22M through Seed and Series A, backed by top-tier investors who backed companies like OpenAI, Anduril, and Mercury early. We run a fast, results-first, high-ownership culture out of our new SF Rincon Hill office. If you want to work at the frontier of AI, manufacturing, and healthcare, this is the place.
What you'll do
- Build and ship product features end to end across backend, frontend, and mobile
- Build the APIs, integrations, and data pipelines that connect clinical, manufacturing, and back-office systems
- Help take AI features from prototype to reliable production
- Work directly with product, design, and customers to make sure what you build solves the real problem
What you need
- 2+ years shipping production software, or an exceptional track record of building things people use
- Strong fundamentals in backend or full-stack development
- Fluency with modern cloud and tooling and experience putting AI into production
- Product-minded: think about how your work affects real users
- Strong communicator who challenges assumptions and collaborates across engineering, AI, and product
- Mission-focused: want to build technology that changes lives
Key skills
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