About the RoleWe'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 ForRequired:- 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
LocationThis 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.
