Verified current Job

Software Engineer - Core Infrastructure

Genesis Molecular AI is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.

Job Full source details
Genesis Molecular Ai Source published Jan 27, 2026 Verified 5 hours ago
✓ 100% verification score · Source: Genesis Molecular Ai (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time

Overview

Genesis Molecular AI is building a world-class computational team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry.

Full job description

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 http://genesis.ml 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 https://www.businesswire.com/news/home/20251028030745/en/Genesis-Molecular-AI-Unveils-Pearl-a-Field-Leading-Foundation-Model-that-Achieves-Unprecedented-Performance-in-Drug-Protein-Structure-Prediction 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 https://www.forbes.com/sites/innovationrx/2026/05/20/inside-incytes-120-million-ai-for-drug-development-deal/ and GEN https://www.genengnews.com/topics/artificial-intelligence/small-molecules-to-big-partnership-incyte-genesis-expand-ai-collaboration-to-1b/) 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.

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

laptop-ats-crawler v3

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Genesis Molecular Ai (ashby) ↗

Browse current Job and Scholarship listings from Genesis Molecular Ai (ashby) →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books