Software Engineer - Core Infrastructure
- Location
- San Mateo, CA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- AWS
- GCP
- Terraform
- Kubernetes
- Python
Also useful
- Ray
- Bash
- distributed ML training
Stated benefits & perks
- Medical
- Dental
- Vision
- 401k
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 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.
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.
Equal opportunity and legal notices
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.
From Genesis Molecular AI's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Software Engineer - Core Infrastructure job at Genesis Molecular AI located?
This Software Engineer - Core Infrastructure position at Genesis Molecular AI is located in San Mateo, CA (On-site). Always check Genesis Molecular AI's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineer - Core Infrastructure at Genesis Molecular AI?
For the Software Engineer - Core Infrastructure role, Genesis Molecular AI highlights 5+ years of relevant experience; experience with AWS, GCP, Terraform, Kubernetes, Python. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineer - Core Infrastructure position at Genesis Molecular AI?
This listing links directly to Genesis Molecular AI's Ashby application page. You can apply directly on Genesis Molecular AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.