About the role

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.

About Diffuse Bio

At Diffuse Bio we’re building a push-button entirely AI software platform for drug design, leveraging breakthroughs in generative AI. Our team has been behind breakthroughs in AI protein design for the past 6 years, including the first experimental validation of AI-generated proteins and diffusion models for protein structure and sequence.