About the job
At Genesis Therapeutics, we are at the forefront of revolutionizing drug discovery by harnessing the power of machine learning, biophysical simulations, and computational chemistry. We are actively seeking a passionate Infrastructure Engineer to join our elite computational team. In this role, you will contribute to the development of groundbreaking medicines and play a pivotal part in the expansion of our advanced AI platform.
Your Role:
Collaborate with our infrastructure team to enhance and maintain our extensive multi-cloud compute infrastructure, which is vital for ML model training, computational chemistry research, and drug discovery initiatives.
Develop and implement configurations and procedures for monitoring, resource allocation, and deployment automation to adapt to the growing demands of our autoscaling compute clusters.
Contribute to the orchestration scheduling framework to boost execution throughput, increase reliability, and optimize compute utilization across diverse pipelines.
Your Qualifications:
Minimum of 5 years of experience in building and maintaining scalable cloud infrastructure, particularly with AWS or GCP.
Proficient in Python, Bash, Terraform, Ray, and Kubernetes.
Experience with distributed ML training jobs on compute clusters with over 1,000 GPUs is highly desirable.
Hands-on experience with physical hardware and data center management is a plus.
What We Offer:
An opportunity to engage with impactful infrastructure that accelerates the discovery of new medicines.
Be part of a world-class, close-knit team of dedicated professionals across software, machine learning, computational chemistry, medicinal chemistry, and biology.
Competitive salary and equity options, alongside comprehensive medical, dental, and vision coverage, plus a 401(k) retirement plan.

