Staff Software Engineer architects high-performance infrastructure for large-scale Neuro-AI models and simulations, optimizes RL environments informed by neuroscience, and scales research prototypes to production while resolving technical bottlenecks.
200k – 500k/yr
HybridBackend Engineering
About the role
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 standard for clean, fast, production-grade code that boosts research velocity.
Turn research prototypes into scalable production systems.
Tackle systemic 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 long-term trade-offs and design infrastructure that survives research chaos.
Extreme Adaptability: Track record of diving into complex domains (e.g., distributed systems to neuroscience), mastering them quickly, and guiding others.
Mastery of Hard Problems: Leading resolution of difficult engineering challenges, such as massive scale distributed systems or kernel-level optimization.
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