Ginkgo Bioworks Inc.
Ginkgo Bioworks engineers organisms for customers in biotech, pharma, agriculture, food, and materials using an automated “foundry” and a bio + AI data platform. It offers contract R&D, cloud lab services, and partnerships that can include licensing and royalties on resulting products. Founded in 2008 and headquartered in Boston, it is a public company listed on the NYSE and BMV.
Open Positions at Ginkgo Bioworks Inc.
6 open positions
Build and support reliable software drivers that control robotic lab systems in Ginkgo’s autonomous laboratories. This hands-on role combines hardware integration, low-level communication, automated testing, simulation, and customer-site diagnostics.
Build production cheminformatics workflows that generate makeable chemical spaces and predict synthetic reactions for AI-enabled drug discovery. This hands-on role combines reaction enumeration, retrosynthesis, chemical data engineering, and collaboration with synthetic chemists.
Join Ginkgo’s Autonomous Lab software organization to build Catalyst, a platform spanning laboratory automation, orchestration, APIs, data systems, AI-enabled workflows, and infrastructure. Software Engineers will be matched with teams such as Agent Interfaces, Solutions Engineering, Scheduling & Optimization, Data Management, or Ops & Infrastructure.
Build production scheduling and optimization software for robotic laboratory automation cells at Ginkgo Bioworks. You will develop algorithms, solvers, simulations, and observability systems that coordinate complex lab workflows under real-world constraints.
Senior Software Engineers will build Catalyst, Ginkgo’s software platform for an autonomous laboratory, spanning APIs, orchestration, AI-enabled workflows, automation, and infrastructure. The role offers placement across multiple teams and requires working onsite in Boston five days per week.
Build full-stack software that transforms complex biological data into actionable insights for biosecurity, epidemiology, and public-health workflows. This senior role combines Python backend development, modern web applications, data pipelines, AI-augmented development, and production ownership.