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
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Solve novel, hard technical problems that lack existing solutions to push the frontier of AI forward.
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Design and build custom database and memory systems tailored to advanced AI workloads.
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Implement real-time LLM token state management at large scale.
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Develop custom Unix OS distributions optimized for human-AI interaction.
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Rethink product UX informed by organizational behavior and human psychology fundamentals.
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Contribute to mechanistic interpretability research to better understand and control AI models.
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Work closely with a small, highly technical team in a hands-on, ownership-driven environment.
What We're Looking For
Required:
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A genuine obsession with novel, technically difficult, or overlooked problems.
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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.
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Experience with one or more of: TypeScript, Rust, Python, graph databases, or flexible data pipelines.
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Outlier technical ability — evidenced by a top academic background, exceptional open-source work, or a strong track record of outstanding engineering.
Nice to Have:
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Familiarity with graph databases, ontological modelling, and flexible data pipeline architectures.
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Interest in and comfort applying insights from psychology and organizational behavior to product and UX decisions.
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Experience with compounding micro-optimizations in performance-critical systems.
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Background in distributed systems, AI infrastructure, or systems-level programming.
Compensation & Benefits
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Cash compensation: $200,000 – $400,000 annually
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Equity: Meaningful variable equity package
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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.
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