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Clera

Member of Technical Staff

San FranciscoOnsite · United States
Staff · FullTime · Engineering
POSTED 3 JUNVERIFIED 5H AGO
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Pay · posted
$200k–400k
Open for
152d
since 3 Jun
Hiring · 30d
284
−1 net · open roles
TypeScriptPythonRustLLMs

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.

Source · Clera · AshbyFirst seen 2 NovOriginal ↗Method