Infrastructure Engineer

Genesis Molecular AI is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for an Infrastructure Engineer that is excited to help develop new medicines and play a critical role in building out our AI platform.

You Will

• Work on our infrastructure team to maintain and grow our multi-cloud compute infrastructure that supports our ML model training, computational chemistry research, and ongoing drug discovery efforts
• Build out our configuration and procedures for monitoring, resource allocation, and deployment automation, as we continue to grow our autoscaling compute clusters to handle larger workloads
• Work on orchestration scheduling framework to increase our execution throughput, reliability, and compute utilization across heterogeneous pipelines

• 5+ years of experience building and maintaining cloud infrastructure at scale, e.g. within AWS or GCP
• Proficient with Python, Bash, Terraform, Ray and Kubernetes
• Ideally, experience building and maintaining compute clusters running distributed ML training jobs with 1,000+ GPUs
• Nice to have: hands-on experience with physical hardware + datacenter management, Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Autoscaling, Biology, Biotech and Pharmaceutical, Chemistry, Cloud Computing, Computational Chemistry, Drug Design, Drug Development, Drug Discovery, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Machine Learning, Medical Products, Physics, Problem Solving Skills, Resource Management, Simulation, Software Engineering

• The opportunity to work on high impact infrastructure that is used to accelerate the discovery of new medicines
• A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology
• Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program

About Genesis Molecular AI

Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis is backed by premier AI and life science investors, including a16z, NVIDIA, Rock Springs Capital, Menlo Ventures, T. Rowe Price, Fidelity, and Radical Ventures. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.

Genesis is headquartered in San Mateo, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.