Member of Technical Staff
clera · San Francisco · $200,000 – $400,000
Open. First seen 9 September 2026.
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.
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.
Other openings for this role
3 open postings for this role in San Francisco, first posted 9 September 2026. The company is likely hiring for more than one position. None has been taken down and posted again.
- 25 September 2026 – open
- 24 September 2026 – open
- 9 September 2026 – open (this posting)
Salary context
11 other open postings titled Member of Technical Staff state a salary: median USD 160,000 to USD 300,000 a year.
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