Ginkgo Bioworks Inc.
Software Graduate Intern, Autonomous Lab
About this role
Ginkgo Bioworks seeks a software intern to help develop the digital infrastructure for an autonomous laboratory where robots execute scientific experiments 24/7. You'll work with Catalyst, a proprietary software platform that controls robotic lab equipment and integrates AI-driven experimentation through natural language interfaces.
What you'll do
- Develop Python-based protocols using Catalyst Client to control liquid handlers, plate readers, and robotic arms
- Assist in building Catalyst Agent, an LLM-based interface for scientists to launch experiments via natural language
- Create data pipelines to harvest, structure, and upload experimental data from robotic cells into a data lake for AI training
- Develop device drivers to integrate new hardware instruments into the Catalyst ecosystem
- Enable "Protocols as Code" workflows for autonomous lab execution
What they're looking for
- Python programming
- Hardware control and APIs
- Software integration and driver development
- Data pipeline design
- Laboratory automation concepts
- AI/LLM familiarity
- Biological data standards knowledge
Benefits
- Salary range: $45,100–$63,600
- Medical, dental, and vision coverage
- Health spending accounts
- 8 paid holidays plus full-week winter shutdown
- Unlimited paid time off
- Voluntary benefits and leave policies
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Ginkgo Bioworks Inc.
Ginkgo Bioworks builds software and systems for autonomous laboratories where robots execute scientific experiments continuously, powered by their proprietary Catalyst platform that integrates AI-driven workflows and biological experimentation. The company is hiring software engineers, automation engineers, and ADME specialists to develop platform infrastructure, control robotic systems, optimize experimental assays, and support their modernized drug discovery operations.
- Website
- ginkgobioworks.com
Likely interview questions
- Walk us through a Python project where you've controlled hardware or interacted with an external API. How did you handle communication between your code and the physical/external system?
- Describe your experience with laboratory automation or biological data. What standards or tools are you familiar with?