Software Intern, Autonomous Lab
Ginkgo Bioworks - Emeryville, California
Posted Jan 28, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified checked Jun 7, 2026
- Salary
- $38K-$54K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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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
61% below the BLS role benchmark for software engineering aggregate.
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
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Intern, Autonomous Lab Emeryville, California Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe's growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. About the Role: Ginkgo Bioworks is constructing the world's first "Total Autonomous Lab"-a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst , our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution. Responsibilities: - Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms. - Build the AI Scientist: Assist in the development of Catalyst Agent , our LLM-based interface that allows scientists to launch experiments using natural language. - Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training. - Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools. Preferred Qualifications: - No college degree necessary
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