Job Opportunities API

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.