Joblaze summary

In this role, the Fullstack Software Engineer will take charge of enhancing the software platform used by computational chemists, focusing on data exploration, experiment management, and real-time visualization. Key skills include proficiency in both frontend and backend development, as well as experience with data pipelines and machine learning integration. This position is ideal for seasoned engineers who thrive in a collaborative environment at the intersection of software development and drug discovery. The team emphasizes continuous learning, regularly discussing recent advancements in AI and chemistry to foster innovation.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Genesis Molecular AI's careers page October 27, 2026.
Machine Learning appears in 0.9% of 223 comparable senior fullstack roles in United States.

Quick facts

Is the Product Software Engineer (Senior / Staff) role remote?: No — this is an on-site role in San Mateo, CA.
Where is the role based?: Genesis Molecular AI is hiring for this position in San Mateo, CA.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI-native workflows, Data Infrastructure, Deep Learning, Machine Learning, computational chemistry, data exploration.
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 Product Software Engineer (Senior / Staff) role at Genesis Molecular AI.

From the original posting

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

Standard company text repeated across Genesis Molecular AI's postings is omitted here.

Product Software Engineer (Senior / Staff)

Similar positions