Senior Software Engineer

• Architect high-performance infrastructure for training large-scale models and running complex simulations.
• Design and optimize custom RL environments informed by neuroscience.
• Write clean, fast, production-grade code that boosts research velocity.
• Turn research prototypes into scalable production systems and tackle technical bottlenecks to unblock the research team.

This role contributes to reverse-engineering the human brain through AI research, helping steer science and technology toward an abundant future for all by advancing the understanding and digital modeling of brain architecture.

• High-velocity craftsmanship: ability to produce clean, maintainable, well-tested code at a startup pace while balancing engineering rigor with rapid iteration.
• System architecture intuition: deep experience architecting complex systems from scratch and designing infrastructure that survives research chaos.
• Extreme adaptability: track record of diving into complex domains (e.g., from distributed systems to neuroscience) and mastering them quickly.
• Mastery of hard problems: proven ability to tackle difficult engineering challenges like massive-scale distributed systems or low-level optimization.

No specific compensation, perks, or culture highlights mentioned in the posting.