Member of Technical Staff
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Reach the decision-maker — $5About the 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.
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