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Member of Technical Staff
Clera
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About this role
ABOUT THE ROLE
We are an early-stage AI and robotics company (Series A/B equivalent, 11–50 people) tackling some of the hardest open problems in artificial intelligence — the kind where existing solutions simply don't exist yet. Our work spans custom database and memory systems, real-time LLM token state management, custom Unix OS distributions for human-AI interaction, and UX paradigms grounded in organizational behavior and human psychology.
We're looking for a Member of Technical Staff who is obsessed with technically difficult, overlooked problems and who can build large, complex, and maintainable systems at an extraordinary pace. This is a high-ownership, high-impact role at the frontier of AI infrastructure and systems engineering.
Visa sponsorship is available.
WHAT YOU'LL DO
- Solve novel, hard technical problems that lack existing solutions to push the frontier of AI forward.
- Design and build custom database and memory systems tailored to advanced AI workloads.
- Implement real-time LLM token state management at large scale.
- Develop custom Unix OS distributions optimized for human-AI interaction.
- Rethink product UX informed by organizational behavior and human psychology fundamentals.
- Contribute to mechanistic interpretability research to better understand and control AI models.
- Work closely with a small, highly technical team in a hands-on, ownership-driven environment.
WHAT WE'RE LOOKING FOR
Required:
- A genuine obsession with novel, technically difficult, or overlooked problems.
- Demonstrated ability to build large, complex, and maintainable systems in roughly one-third the time most engineers would estimate — speed and quality, not one or the other.
- Experience with one or more of: TypeScript, Rust, Python, graph databases, or flexible data pipelines.
- Outlier technical ability — evidenced by a top academic background, exceptional open-source work, or a strong track record of outstanding engineering.
Nice to Have:
- Familiarity with graph databases, ontological modelling, and flexible data pipeline architectures.
- Interest in and comfort applying insights from psychology and organizational behavior to product and UX decisions.
- Experience with compounding micro-optimizations in performance-critical systems.
- Background in distributed systems, AI infrastructure, or systems-level programming.
COMPENSATION & BENEFITS
- Cash compensation: $200,000 – $400,000 annually
- Equity: Meaningful variable equity package
- Visa sponsorship available
LOCATION
This is a fully on-site role based in San Francisco, CA (South Park neighborhood). We believe deeply in in-person collaboration and expect team members to be present daily.
Salary insight
The midpoint of this range ($300k) is about 47% above the median disclosed salary for San Francisco roles listed on ForgeApply ($203k across 6,270 jobs).
Based on live postings with disclosed pay on ForgeApply; refreshed daily. Not an estimate of this employer's offer.
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