Software Engineer - Core Infrastructure
Join Genesis Molecular AI as a Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We are building an AI platform to accelerate drug discovery through machine learning and computational chemistry.
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer focuses on enhancing and maintaining the multi-cloud infrastructure that underpins machine learning model training and drug discovery initiatives. Key skills include proficiency in Python, Bash, Terraform, Ray, and Kubernetes, with a strong background in managing large-scale cloud environments. This position is ideal for someone with over five years of experience in cloud infrastructure, particularly those familiar with distributed ML training on extensive GPU clusters. The team is composed of experts across various scientific disciplines, fostering a collaborative environment aimed at impactful drug development.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Genesis Molecular AI's career page.
- Genesis Molecular AI has 10 other open roles including Contract Recruiting Coordinator, Manager, New Product Planning, ML Research Engineer, Foundation Models (Senior / Staff / Principal).
- 6527 active Python roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- 1134 active Terraform roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Software Engineer - Core Infrastructure role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Kubernetes, Python, Ray, Terraform, bash.
- What seniority level is this role?
- Genesis Molecular AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer - Core Infrastructure role at Genesis Molecular AI.
From the original posting
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
You Are
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
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
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.