Staff HPC Engineer
Chan Zuckerberg Biohub Network, San Francisco, CA, Hybrid
Research DevelopmentBachelor RequiredSenior
Chan Zuckerberg Biohub Network, San Francisco, CA, Hybrid
The HPC Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of hybrid GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared. Our infrastructure supports day-to-day AI researcher workflows. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization.
We seek a Staff HPC Engineer to help lead the evolution of our advanced computing infrastructure into a next-generation hybrid HPC and AI platform. This role will help shape strategy, architecture, and operations for high-performance computing resources — including cutting-edge GPUs, large-scale storage, and high-speed networks — while enabling transformative science through AI and machine learning at scale.
You will design, implement, and optimize a unified HPC-AI ecosystem blending on-prem Slurm-managed clusters, cloud GPU resources, and containerized environments. This hybrid environment will power everything from traditional HPC workloads to large AI training jobs, generative model development, real-time inference, and data-intensive pipelines.
The successful candidate will be a thought leader in HPC infrastructure , capable of partnering with scientists, computational biologists, and software engineers to translate complex research needs into high-impact computing solutions. You will also foster adoption of emerging AI tools, and ensure our systems can scale to meet the demands of next-generation biomedical research.
The San Francisco, CA base pay range for a new hire in this role is for a Staff HPC Engineer 214,000–$268,000 and for a Senior Staff HPC Engineer $241,000–$300,000.New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.
This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.
As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.
We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.
Our mission is to help scientists cure or prevent all disease. At Biohub, we build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With unprecedented scale of compute, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, Biohub is leading the first large-scale scientific initiative to push the frontier of artificial intelligence for biology.
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