Full Stack Engineer

Full-Stack Engineer | AI Infrastructure Startup

Seattle · Hybrid · $180,000–$220,000 base

Build the product layer behind a new approach to AI inference.

I am partnering with a Seattle-based startup building a software-hardware co-design platform designed to cut LLM inference costs by up to 50x and energy consumption by 80%. Its technology combines model optimization, serving software and reconfigurable hardware to tackle the compute and memory bottlenecks of running AI at scale.

Founded by engineers and researchers from Apple, Meta and Waymo, including founders whose previous company was acquired by Apple, the business has raised approximately $34M and is scaling commercial deployments.

The role

You’ll own front-end dashboards, user interfaces and back-end services, turning complex infrastructure capabilities into intuitive, reliable products. This is a hands-on role with broad ownership across the stack and close collaboration with specialists in ML, compilers, systems software and hardware.

As priorities shift, you’ll also have opportunities to contribute to performance software and AI infrastructure. We’re looking for someone who enjoys full-stack product development and is curious about how the systems underneath it work.

What you’ll do

• Build and maintain dashboards and interfaces for AI infrastructure products.
• Develop the back-end services and APIs that power them.
• Own features from initial design through deployment and ongoing improvement.
• Work closely with engineers across the software and hardware stack.
• Expand into performance engineering and AI infrastructure work as product workloads evolve.

What we’re looking for

• Ideally 5+ years of professional software engineering experience; exceptional candidates with 3+ years will be considered.
• Strong hands-on experience across both front-end and back-end development.
• Experience shipping and owning products in a startup environment.
• Sound engineering fundamentals and comfort working through ambiguous requirements.
• A genuine interest in AI, inference or infrastructure, with the appetite to learn beyond your current expertise.

Previous AI infrastructure or performance engineering experience would be a bonus, but it isn’t required.

Why join?

Own a meaningful part of the product at an early-stage company, work alongside experienced technical founders, and build expertise across full-stack software and AI infrastructure as the business grows. This is one of those rare deep-tech infra plays where you’re genuinely building the next layer of the AI stack, not just gluing models together.

Get in touch to learn more.