> Markdown version of [/jobs/ext/4324914-senior-software-engineer](https://www.wearedevelopers.com/jobs/ext/4324914-senior-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). --- # Senior Software Engineer - **Company:** Astera Institute - **Location:** Emeryville, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Distributed Systems, Reverse Engineering, Software Engineering, Systems Architecture - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-ca--8dd165c6-a096-4129-9e5b-08939048c6d8 ## About the Role Software Engineering, Risk, Startup, Artificial Intelligence (AI), Software Engineering, Reverse Engineering, Neuroscience, Prototyping, Production Systems, Systems Scalability, * High-Velocity Craftsmanship: You produce 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 deep experience architecting complex systems from scratch. You understand the 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 and mastering them quickly. * Mastery of Hard Problems: You have a track record of tackling difficult engineering challenges, whether it is massive scale distributed systems or low-level optimization. You do not shy away from what your peers consider hardcore. ## Description We are looking for an ambitious Senior Software Engineer to help us reverse-engineer the human brain. This role spans a broad spectrum of activities: * 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 our research velocity. * Turn research prototypes into scalable production systems. * Tackle any technical bottleneck, from low-level optimization to high-level system design, to unblock the research team.