The role: • Design, build, and iterate on research infrastructure in close collaboration with research engineers. • Build tools to automate and maintain computing clusters and data parsing pipelines. • Design and build software and APIs that enable internal and external access to our AI systems. Ideal background: • Adaptability and openness to work on multiple problem areas (e.g. data processing pipelines, front-end software development). • Fast learner with a broad understanding of infrastructure, front-end, databases, CI, etc. • Bachelors or Graduate Degree in Computer Science, or a related field (not a hard requirement for an exceptional candidate). • Strong track record in programming (industry experience, internships, competitions, open-source projects). • Proficient in Python and C++. • Experience with cloud computing platforms (e.g., GCP). • Data science or engineering experience (e.g. ML engineer, data infrastructure engineer). • Is located in the Bay Area (remote work is an option for exceptional candidates). Pluses: • Experience with Kubernetes or other cluster management platforms. • Front-end experience and proficient in HTML/CSS/Javascript, React, etc. What we offer: • The opportunity to join the founding team and play a critical and expanding role in shaping the company. • The opportunity to work on cutting-edge AI with leading researchers with an application and productization focus.