Senior Software Engineer
Builds high-performance infrastructure for brain reverse-engineering via large-scale AI models and neuroscience-informed simulations. Architects systems, optimizes RL environments, and scales research prototypes to production.
About the job
Responsibilities
- 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.
- Tackle technical bottlenecks from low-level optimization to high-level system design.
Qualifications
- Produce clean, maintainable, well-tested code at startup pace, balancing rigor with quick iteration.
- Deep experience architecting complex systems from scratch, understanding trade-offs.
- Extreme adaptability to dive into new domains like neuroscience.
- Track record tackling difficult engineering challenges like massive scale distributed systems or low-level optimization.
Skills
Python, Reinforcement Learning, Distributed Systems, High-Performance Computing, System Architecture, Low-Level Optimization, Scalable Production Systems, Rl Environments
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