Staff Software Engineer

You will define and architect infrastructure for large-scale model training and complex simulations. You will optimize neuroscience-informed reinforcement learning environments, set engineering standards, scale research prototypes into production systems, and resolve systemic technical bottlenecks.

Responsibilities

• Define and architect high-performance infrastructure for large-scale model training and complex simulations
• Design and optimize custom reinforcement learning environments informed by neuroscience
• Set standards for clean, fast, production-grade code
• Turn research prototypes into scalable production systems
• Resolve systemic technical bottlenecks across optimization and technical strategy

Requirements

• Set standards for clean, maintainable, well-tested code
• Architect complex systems from scratch
• Understand long-term system-design trade-offs
• Master complex domains quickly and guide others through them
• Lead resolution of difficult distributed-systems and kernel-level optimization challenges