Ginkgo Bioworks
Software Engineer 2, Autonomous Lab
$86K–$120K
Boston, Massachusetts +1 · Full-time · Posted Jun 17, 2026
- Location
- Boston, Massachusetts
Boston, Massachusetts, United States - Experience
- Some professional software development experience; no specific number of years stated.
- Education
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Bioinformatics, or a related technical field, or equivalent practical experience.
- Visa sponsorship
- Applicants must be currently authorized to work in the United States on a full-time basis. The company is unable to sponsor or take over sponsorship of H-1B visas at this time.
About the job
Build and maintain Catalyst, the software platform powering Ginkgo’s Autonomous Lab, including automation, APIs, data systems, scheduling, infrastructure, and AI-enabled workflows.
What you'll do
- Deliver and test software features end-to-end; maintain code quality, reliability, logging, and observability.
- Collaborate with scientists, operators, and engineers to understand requirements, discuss designs, and communicate progress.
- Use AI agents and tooling to accelerate development while applying sound engineering judgment.
What they ask for
- Bachelor’s or Master’s degree in a related technical field, or equivalent practical experience.
- Some professional software development experience on team-owned production codebases, such as internships, academic research, or full-time employment.
- Proficiency in Python; familiarity with version control (Git) and collaborative development workflows.
- Ability to reason about code across multiple files and components; strong communication and collaboration skills.
Nice to have
- Familiarity with laboratory automation, robotics, or scientific instrumentation.
- Exposure to agentic systems, LLM-backed applications, or tool-use frameworks such as LangChain, MCP, or function calling.
Pay
85,600 USD - 120,200 USD Annual (base salary)
Tools
Catalyst, Python, TypeScript, React, Git, Kubernetes, PostgreSQL, REST
AI focus
Build AI-enabled workflows and infrastructure for users and agents, including agentic interfaces, orchestration, prompt pipelines, evaluation, and safe, observable backend APIs; use AI agents and tooling to accelerate software development.
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