Offer summary

Qualifications:

5+ years of experience in building and maintaining cloud infrastructure at scale, preferably in AWS or GCP., Proficient in Python, Bash, Terraform, and Kubernetes., Experience with distributed ML training jobs and managing compute clusters with 1,000+ GPUs is ideal., Hands-on experience with physical hardware and datacenter management is a plus..

Key responsabilities:

Maintain and grow multi-cloud compute infrastructure for ML model training and drug discovery.

Develop configuration and procedures for monitoring, resource allocation, and deployment automation.

Enhance orchestration scheduling framework to improve execution throughput and compute utilization.

Collaborate with the infrastructure team to support ongoing research and development efforts.

Genesis Therapeutics – headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego – is unifying AI and biotechnology to discover novel and breakthrough treatments for patients with severe and devastating conditions. We are using a proprietary state-of-the-art generative and predictive AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery. The GEMS platform integrates deep learning-based predictive models, molecular simulations, and molecular generative AI. GEMS accelerates hit ID through lead optimization and candidate selection by generating promising molecules for synthesis and experimental testing, and iterating this process through multiple cycles of AI-enabled discovery and optimization. We have leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022) and Genentech (signed in 2020). Genesis has raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures. We are rapidly growing our team with a variety of openings on our machine learning, computational chemistry, and software teams (primarily located in the Bay Area) and our chemistry, biology, and clinical teams (primarily located in San Diego). To learn more about Genesis Therapeutics, or current employment opportunities, please visit our website.

Job description

Genesis Therapeutics 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 a senior 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

You Are:

5+ years of experience building and maintaining cloud infrastructure at scale, e.g. within AWS or GCP
Proficient with Python, Bash, Terraform, 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

What We Offer:

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

Required profile