Full-Stack Hands-on Software Architect

We are looking for a Hands-on Software Architect. You will be responsible for taking major technical decisions within the company, focusing on Back End and infrastructure. If you have experience being a founding engineer in an early stage startup, or building a full stack system from ground up in a leading role, we want to hear from you!

• Early-stage SAAS startup experience, responsible for developing critical, customer-facing product features.
• 8+ years of building for the web with a thorough understanding of Back End (API design, databases, security), modern Front End (TS, React/Vue, SPA), and cloud/infra (scaling, reliability)
• Love for modern development practices (dev tooling, CI/CD, IaC, etc).
• Experience with a variety of languages, including Python and TypeScript, paradigms, and frameworks, and ability to learn new ones quickly.
• A systematic and rational approach to technical decision-making.
• Proven track record of making architectural decisions, including experience in selecting modern frameworks and tools.
• Comfortable shaping the product in collaboration with adjacent roles (product, design/UX).
• Strong sense of ownership, including troubleshooting production, talking to customers, etc.
• Excellent communication skills

We are an early-stage, fast-moving startup, working in the intersection of industrial innovation and artificial intelligence, based in San Mateo, CA. We are creating an AI operating system for manufacturing - a platform that connects machine shops, data, and people to make industrial operations smarter, faster, and more resilient. Our technology uses advanced machine learning and intelligent automation to optimize workflows and enhance productivity. We bring together experts in AI, data engineering, and manufacturing systems to reimagine how CNC machine shops operate. What we offer: * Seed-stage software startup with tier 1 investors on a mission to transform the $20T manufacturing industry * Clean slate product, minimal Legacy code, high-leverage technical decisions * Fast pace, constantly shipping and iterating with users * Applied AI challenges (GPT, vision, reasoning) * Computational geometry challenges * Great coworkers (founders with domain expertise and a track record, and other senior engineers) * Small team means diverse tasks offering many learning opportunities