Senior Software Engineer, Autonomous Lab (Scheduling & Optimization)

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.

SENIOR SOFTWARE ENGINEER, AUTONOMOUS LAB (SCHEDULING & OPTIMIZATION)

ABOUT THE ROLE

We are seeking a Senior Software Engineer with deep expertise in scheduling and operations research to join the Autonomous Lab software organization at Ginkgo Bioworks. This position is specific to the Orchestrator team. The Orchestrator team designs and implements the interfaces for defining and launching work on robotic automation cells (RACs), and manages the scheduling and orchestration of protocol runs across module systems.

The ideal candidate is an experienced software engineer who has built and shipped production scheduling systems, with a working command of operations research, optimization, and constraint programming. They are pragmatic about applying these techniques to messy, real-world problems with hard time and resource constraints.

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It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.

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All positions require the candidate to work on-site Monday - Friday in our Boston office. Ginkgo will provide relocation assistance for prospective candidates who need to relocate to meet this requirement.

Applicants must be currently authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of H-1B visas at this time.

Ginkgo has implemented a return to office policy effective October 1, 2025. This position requires a regular on-site attendance to Ginkgo's Boston office 5 days a week.

Scheduler & Optimization Development

Performance, Simulation & Validation

Cross-Team Collaboration

We do not expect that any one candidate will have all of the following capabilities - each is independently a preferred or "nice-to-have" capability.

The base salary range for this role is $134,300.00 - $189,900.00.

Actual pay within this range will depend on a candidate's skills, expertise, and experience.

We also offer 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.