Fullstack Software Engineer (Senior / Staff)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Fullstack Software Engineer (Senior / Staff) San Mateo, CA, New York, NY Fullstack 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 and expand tools for visualizing molecules and proteins, analyzing ML models, and managing complex chemical workflows - 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 - 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

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