Ginkgo Bioworks Inc.
Software Intern, Autonomous Lab
About this role
Join Ginkgo Bioworks to help build the software infrastructure for an autonomous laboratory where robots execute scientific experiments 24/7. You'll work on the Catalyst platform—a proprietary software stack that controls robotic systems—developing Python-based protocols, integrating AI interfaces, and building data pipelines for biological experimentation.
What you'll do
- Develop Python-based laboratory protocols using the Catalyst Client to control robotic equipment like liquid handlers and plate readers
- Assist in building Catalyst Agent, an LLM-powered interface enabling scientists to design experiments using natural language
- Create data pipelines to automatically collect and structure experimental results from robotic systems for AI model training
- Write device drivers to integrate new laboratory instruments into the Catalyst ecosystem
- Support the vision of autonomous, AI-driven biological research execution
What they're looking for
- Python programming
- Hardware control and APIs
- Software architecture for physical systems
- Data pipeline development
- Laboratory automation concepts
- API integration
- Problem-solving for complex engineering challenges
Benefits
- Medical, dental, and vision coverage
- Health spending accounts
- 8 paid holidays plus full-week winter shutdown
- Unlimited Paid Time Off
- Competitive salary ($37,700–$53,500 range)
- Opportunity to work on cutting-edge biotech automation
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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 controlled hardware or interfaced with an API. What challenges did you face?
- Describe your experience writing code to automate repetitive tasks. How would you approach automating a multi-step laboratory protocol?