Chai Discovery · San Francisco office
Build compute infrastructure for Chai's models, scientific products, and autonomous research. Responsibilities include bringing new clusters online, optimizing model inference and serving, and building shared storage and security. The posting cites distributed systems and performance engineering.
Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly, GSK, Pfizer, Bristol Myers Squibb, argenx and Novartis all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.
We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.
We value diverse perspectives and are ready to find greatness in unexpected places.
Build the compute infrastructure behind Chai’s next generation of models, scientific products, and autonomous research. Our research program and runtime inference constantly demand more compute, and the rate at which we bring it online and manage it effectively directly inflects Chai's velocity.
We look for depth in distributed systems, compute infrastructure, and performance engineering, with demonstrated ownership of substantial production systems. You can reason across layers and make sound tradeoffs between complexity, reliability, and efficiency.
The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect and promote a culture of high velocity and ownership. We compensate our team accordingly.
This posting doesn’t list technologies. These are the ones Chai Discovery uses across its other roles.