Why This Role Stands Out
This role offers an exceptional opportunity to tackle groundbreaking challenges in AI and robotics at a well-funded startup, fostering significant technical growth and innovation. You'll thrive here if you are a deeply curious engineer driven by solving complex, uncharted problems and possess a knack for building sophisticated systems efficiently. Apply now to be at the forefront of AI advancement.
Quick Overview
Job Description
About the Role
Join a well-funded AI and robotics startup tackling some of the hardest open problems in the field. This is a senior individual contributor role for engineers who are obsessed with novel, technically difficult challenges — the kind that don't have existing solutions. You'll work across systems-level infrastructure, real-time AI state management, custom OS development, and UX grounded in human psychology and organisational behaviour.
What You'll Do
Design and build custom database and memory systems from scratch.
Implement real-time LLM token state management at large scale.
Develop custom Unix OS distributions tailored for both humans and AI agents.
Rethink UX paradigms using insights from organisational behaviour and human psychology.
Pursue compounding micro-optimisations across the full stack.
Work onsite 5 days a week in San Francisco.
What We're Looking For
Required: Deep obsession with novel, overlooked, or technically unsolved problems.
Required: Demonstrated ability to build large, complex, and maintainable systems in roughly one-third the time most engineers consider possible.
Required: Proficiency in one or more of: TypeScript, Rust, Python.
Required: Experience with graph databases, flexible data pipelines, or ontological modelling.
Comfort applying psychology and organisational behaviour insights to product and UX decisions.
Signal of outlier intelligence — top academic background or standout real-world experience (non-traditional backgrounds welcome).
Compensation & Benefits
Cash compensation: $200,000 – $400,000 USD annually
Variable equity on top of cash
Visa sponsorship available
Location
On-site in San Francisco, CA (South Park neighbourhood). This is a fully in-person role — remote work is not available.