Full Stack Engineer

🚨 Full-Stack Engineer – AI Infrastructure

📍 Seattle, WA

I’m working with an AI infrastructure startup building a software and hardware platform to make large-scale AI inference more affordable and energy efficient.

Founded by former Apple, Meta and Xnor.ai researchers, they combine model optimization, serving software and reconfigurable FPGA hardware, targeting up to 50x lower inference costs and 80% lower energy consumption.

They’ve raised approximately $34M from investors including FUSE, Ubiquity Ventures and Liquid 2 Ventures, and are already generating revenue through commercial deployments.

This is an opportunity to own full-stack development within a team of around 30 people, while expanding into performance engineering and AI infrastructure.

You’ll work on:

• Building and maintaining front-end dashboards and user interfaces
• Developing back-end services that support the platform
• Owning features across the front end and back end
• Collaborating with engineers across ML, systems software and FPGA design
• Contributing to performance software and AI infrastructure as workloads evolve

Requirements:

✅ Typically 5+ years of software engineering experience, with flexibility for exceptional candidates with 3+ years

✅ Deep full-stack expertise across front-end applications and back-end services

✅ Experience owning and delivering features end to end

✅ Genuine interest in expanding into performance engineering and AI infrastructure

✅ Adaptability and enthusiasm for working across changing startup priorities

⭐ Experience in AI infrastructure, performance engineering or hardware-focused startups is especially valuable, but isn’t required.

💰 Package: $160K–$220K base salary + equity + $10K relocation support