Senior Infrastructure Engineer - SRE & DevOps
Burlingame, CA
Genesis Therapeutics
At Genesis we’re unlocking tough protein targets to discover new medicines at scale, with the industry’s most advanced molecular AI platform.
Genesis Therapeutics 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 a senior infrastructure engineer that is excited to help develop new medicines and play a critical role in building out our AI platform.
Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022, with a $20M upfront payment and a $670M total deal size), and Genentech (signed in 2020). We raised a $200M series B in August 2023, and have raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
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 improvements to our internal job scheduling system 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, 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
Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.
The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022, with a $20M upfront payment and a $670M total deal size), and Genentech (signed in 2020). We raised a $200M series B in August 2023, and have raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.
Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
0
0
0
Category:
Engineering Jobs
Tags: AWS Biology Chemistry Deep Learning DevOps Drug discovery GCP Generative AI Kubernetes Machine Learning Model training Pipelines Python Research Terraform
Perks/benefits: Career development Competitive pay Equity / stock options Health care
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Staff Machine Learning Engineer jobsData Engineer II jobsStaff Data Scientist jobsBI Developer jobsData Scientist II jobsPrincipal Data Engineer jobsData Manager jobsJunior Data Analyst jobsData Science Manager jobsSenior AI Engineer jobsResearch Scientist jobsBusiness Data Analyst jobsData Specialist jobsPrincipal Software Engineer jobsData Science Intern jobsLead Data Analyst jobsData Analyst Intern jobsData Analyst II jobsSr. Data Scientist jobsBI Analyst jobsData Engineer III jobsSoftware Engineer II jobsSoftware Engineer, Machine Learning jobsAzure Data Engineer jobsJunior Data Engineer jobs
Snowflake jobsLinux jobsEconomics jobsOpen Source jobsComputer Vision jobsRDBMS jobsData Warehousing jobsHadoop jobsGoogle Cloud jobsMLOps jobsAirflow jobsKafka jobsNoSQL jobsClassification jobsBanking jobsJavaScript jobsScala jobsKPIs jobsData warehouse jobsStreaming jobsScikit-learn jobsPhysics jobsLooker jobsOracle jobsR&D jobs
PostgreSQL jobsPySpark jobsTerraform jobsGitHub jobsCX jobsRobotics jobsPandas jobsSAS jobsBigQuery jobsScrum jobsData Mining jobsIndustrial jobsDistributed Systems jobsRedshift jobsJira jobsUnstructured data jobsPharma jobsMicroservices jobsdbt jobsJenkins jobsGPT jobsRAG jobsE-commerce jobsReact jobsMySQL jobs