Software Engineer 2, Autonomous Lab

Responsibilities

• Technical Delivery
• Write clean, readable, maintainable code and apply coding principles (DRY, SOLID) with guidance from senior teammates.
• Recognize and follow established architectural patterns; contribute improvements as you grow into the codebase.
• Identify and communicate dependencies and potential blockers proactively.
• Use AI agents and tooling to accelerate development while applying sound engineering judgment.
• Collaboration & Communication
• Participate constructively in technical design discussions and code reviews.
• Work effectively with scientists, operators, and cross-functional partners to understand requirements and deliver solutions.
• Ask good questions, document decisions, and communicate progress clearly with the team.
• Quality & Reliability
• Write tests at the unit and integration level; actively think through edge cases and error conditions.
• Address bugs and failing tests promptly; contribute to a culture of quality.
• Build logging, error handling, and observability into the software you ship.
• Learning & Growth
• Actively develop expertise in your team’s technical domain and the broader Catalyst platform.
• Seek and act on feedback from peers and senior engineers; contribute mentorship to more junior teammates over time.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Electrical Engineering, Bioinformatics, or a related technical field, or equivalent practical experience.
• Some professional software development experience, including work on team-owned codebases in a production setting, such as internships, academic research, or full time employment.
• Proficiency in Python; familiarity with additional languages relevant to your area of interest (e.g. TypeScript & React) is a plus.
• Ability to reason about code across multiple files and components; familiarity with version control (Git) and collaborative development workflows.
• Strong communication skills and eagerness to collaborate with engineers and non-engineers alike.

Preferred Capabilities And Experience

• Familiarity with laboratory automation, robotics, or scientific instrumentation.
• Exposure to agentic systems, LLM-backed applications, or tool-use frameworks (LangChain, MCP, function calling, etc.).
• Familiarity with scheduling, optimization, or operations research concepts.
• Experience with hardware communication protocols or low-level systems programming.
• Experience with specialized device software libraries such as HL8, Terapagos, and Stratum v2.
• Familiarity with relational databases (PostgreSQL) and writing or modifying queries.
• Exposure to Kubernetes, cloud infrastructure (GCP, AWS, Azure), or CI/CD pipelines.
• Familiarity with REST API design and development.
• Experience with TypeScript/React or comparable frontend frameworks.
• Proficiency with Git and experience working within agile methodologies.

Benefits

• 85,600 USD - 120,200 USD Annual - Actual pay within this range will depend on a candidate's skills, expertise, and experience.
• Company stock awards.
• A comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.

Pay

• 85,600 USD - 120,200 USD Annual

Schedule

• Regular on-site attendance to Ginkgo's Boston office 5 days a week.

Qualifications

• EEO disability/vet.

Privacy Notice

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