> Markdown version of [/jobs/ext/4620954-staff-software-engineer](https://www.wearedevelopers.com/jobs/ext/4620954-staff-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer - **Company:** Astera Institute - **Location:** Emeryville, CA, United States - **Salary:** $200,000 - **Contract:** Permanent contract - **Skills:** Distributed Systems, Systems Architecture - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25304_9fce6c5c460c4d870fa73f81bde8162f ## About the Role * 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 the long-term 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. ## Description We are looking for an ambitious Staff Software Engineer to help us reverse-engineer the human brain. * 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 our 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.