Experience in writing clean, maintainable, and well-tested code in a fast-paced environment
Proven ability to architect complex systems from inception
Quick adaptability to complex domains, particularly neuroscience
Strong background in tackling large-scale distributed systems and kernel-level optimization
Responsibilities
Define and architect high-performance infrastructure for large-scale model training
Design and optimize custom reinforcement learning environments based on neuroscience principles
Set coding standards for production-ready code to enhance research efficiency
Transform research prototypes into scalable production systems
Identify and resolve critical technical bottlenecks for the research team
Benefits
Access to a $2.5B endowment for ambitious science and technology projects
Work within a dynamic, startup-like environment free from funding pressures
Opportunity to collaborate with leading scientists and engineers
Engagement in groundbreaking AI research that integrates neuroscience and bioengineering
Full Job Description
Position Summary
We are looking for an ambitious Staff Software Engineer to help us reverse-engineer the human brain.
This role spans a broad spectrum of activities:
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 our 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: You set the bar for clean, maintainable, and well-tested code at a startup pace. You know how to balance engineering rigor with the need to iterate quickly on research prototypes.
System Architecture Intuition: You have proven success architecting complex systems from scratch. You understand multi-year trade-offs, and you can design infrastructure that survives the chaos of research.
Extreme Adaptability: You might be an expert in distributed systems today, but you are ready to become a novice in neuroscience tomorrow. You have a track record of diving into complex domains, mastering them quickly, and guiding others through them.
Mastery of Hard Problems: You have a track record of leading the resolution of difficult engineering challenges, whether it is massive scale distributed systems or kernel-level optimization. You do not shy away from what your peers consider hardcore.
Location & Visa
This role is in-person in Emeryville, CA.
Visa sponsorship may be available for qualified candidates.
