Product Software Engineer (Senior / Staff)
- Level
- Staff
- Work type
- Hybrid · San Mateo
Not stated in the posting: salary, visa.
Open. First seen 3 October 2026.
About the role
Product Software Engineer (Senior / Staff)
Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform.
You will
- Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight
- Build tools for exploring and visualizing high-dimensional datasets containing molecules, proteins, and ML model predictions
- Design flexible systems for running complex chemical workflows incorporating different computational chemistry tools and ML models
- Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction
- Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs
You are
- A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem
- Comfortable owning problems across the entire stack — frontend interfaces, backend services, data pipelines, and infrastructure
- Experienced shipping production code and driving projects end-to-end with minimal hand-holding
- Motivated by working closely with users to understand their problems and design simple solutions
- Excited to work at the intersection of software engineering, drug discovery, and machine learning
What we offer
- The opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicines
- Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideas
- Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program
Genesis Molecular AI's standard text
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.
What this role asks for
In most of Genesis Molecular AI's ads
Deep Learning · Machine Learning
Named in most of its open postings, whatever the role.
69% of this description is written for the role. The rest is Genesis Molecular AI's standard text, folded away below.
Read against Genesis Molecular AI's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 3 open in Engineering. 1 was posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (3 of 3), Deep Learning (2 of 3), GCP (2 of 3), Kubernetes (2 of 3), Terraform (2 of 3)
OTHER ROLES ON THIS TEAM
- Software Engineer - Core Infrastructure posted Jan 27
- Machine Learning Infrastructure Engineer posted Nov 24
From the team and dates on Genesis Molecular AI's own job board.
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