Principal Software Engineer

Responsibilities

• Define and architect high-performance infrastructure for training large-scale models and running complex simulations.
• Design and optimize custom RL environments informed by neuroscience.
• Set the organizational standard for clean, fast, production-grade code that boosts research velocity.
• Turn research prototypes into scalable production systems.
• Identify and resolve the most critical and ambiguous technical bottlenecks, from low-level optimization to high-level strategy, to unblock the research team.

Qualifications

• High-Velocity Craftsmanship: Set the bar for clean, maintainable, and well-tested code at a startup pace. Balance engineering rigor with quick iteration on research prototypes.
• System Architecture Intuition: Proven success architecting complex systems from scratch. Understand multi-year trade-offs and design infrastructure that survives research chaos.
• Extreme Adaptability: Expert in distributed systems today, ready to master neuroscience tomorrow. Track record of diving into complex domains and guiding others.
• Mastery of Hard Problems: Track record leading resolution of difficult engineering challenges, such as massive scale distributed systems or kernel-level optimization.