Deep passion for solving complex, technically unsolved problems.
Proven track record in building scalable, maintainable systems faster than peers.
Expertise in programming languages such as TypeScript, Rust, or Python.
Experience with advanced data structures like graph databases or ontological models.
Ability to integrate psychological insights into UX and product design.
Exceptional intelligence or unique real-world experience, with a non-traditional background seen as an asset.
Responsibilities
Design and build customized database and memory systems from the ground up.
Implement real-time token state management for large-scale LLMs.
Create tailored Unix OS distributions for AI agents and human users.
Innovate UX paradigms informed by human psychology and organizational behavior studies.
Optimize performance across the full technology stack through micro-optimizations.
Work collaboratively in an onsite setting five days a week.
Benefits
Cash compensation ranging from $200,000 to $400,000 annually.
Variable equity opportunities in addition to cash compensation.
Visa sponsorship is available for eligible candidates.
Full 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).
