Senior Software Engineer, Autonomous Lab (Scheduling & Optimization)Boston, Massachusetts

Ginkgo Inc; Boston (MA); On-site; USD 134,300 - 189,900; Full time

Benefits offered by this job

Company stock awards

Medical, dental & vision coverage

Health spending accounts

Voluntary benefits

Leave of absence policies

401(k) with employer contribution

8 paid holidays + winter shutdown

Unlimited Paid Time Off

Job summary

Ginkgo Bioworks is seeking a Senior Software Engineer for the Autonomous Lab’s Scheduling & Optimization efforts in Boston. You will design and ship production scheduling systems for robotic lab automation, applying operations research, constraint programming, and MILP to real-world constraints.

Ideal candidates have proven experience building scheduling solutions, strong Python skills, and excellent collaboration abilities, with on-site work five days a week in our Boston office.

Qualifications

• Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, or related field, or equivalent practical experience.
• Experience in a software development role with scheduling, optimization, or planning systems.
• Strong proficiency in Python.
• Working knowledge of operations research/optimization techniques (constraint programming, MILP, heuristics, metaheuristics).
• Strong communication and collaboration skills.

Responsibilities

• Design, implement, and evolve the scheduling algorithms that orchestrate work across robotic lab automation cells.
• Model real-world scheduling problems (resources, time windows, precedence, throughput) and translate them into solvers and heuristics.
• Improve scheduler quality (utilization, throughput, latency) and robustness.
• Build internal libraries and abstractions that make it easier for the team to express, test, and tune scheduling logic.
• Develop simulation environments and benchmark suites to evaluate scheduling decisions before production.
• Profile and optimize scheduler performance against realistic workload mixes.
• Build observability into the scheduler for quick diagnostics in customer environments.
• Collaborate with the Orchestrator team and Data Management on data contracts, telemetry, and APIs.

Skills

Python

Scheduling systems

Operations research

Communication

Education

Bachelor's or Master's in CS/OR/Industrial Eng

Tools

OR-Tools

Gurobi

CPLEX

OptaPlanner

Kafka

Temporal

Job description

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.

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

Responsibilities

Scheduler & Optimization Development

• Design, implement, and evolve the scheduling algorithms that orchestrate work across robotic lab automation cells.
• Model real‑world scheduling problems (resources, time windows, precedence, throughput) and translate them into solvers and heuristics.
• Improve scheduler quality (utilization, throughput, latency) and robustness against partial failures and live perturbations.
• Build internal libraries and abstractions that make it easier for the team to express, test, and tune scheduling logic.

Performance, Simulation & Validation

• Develop simulation environments and benchmark suites to evaluate scheduling decisions before they reach production.
• Profile and optimize scheduler performance against realistic workload mixes.
• Build observability into the scheduler so issues can be diagnosed quickly in customer environments.

Cross‑Team Collaboration

• Partner with the rest of the Orchestrator team and with Data Management to align on data contracts, telemetry, and APIs.
• Translate scheduling concepts and trade‑offs to scientists, operators, and other engineers in clear, actionable terms.

Minimum Requirements

• Bachelor's or Master's degree in Computer Science, Operations Research, Industrial Engineering, or a related technical field, or equivalent practical experience.
• Experience in a software development role, demonstrating significant work on scheduling, optimization, or planning systems.
• Strong proficiency in Python.
• Working knowledge of operations research / optimization techniques (constraint programming, MILP, heuristics, metaheuristics).
• Strong communication and collaboration skills.

Preferred Capabilities And Experience

• Production experience with optimization solvers (OR‑Tools, Gurobi, CPLEX, OptaPlanner) or building custom heuristics at scale.
• Experience with discrete‑event simulation.
• Experience with real‑time or near‑real‑time scheduling under hardware constraints.
• Experience with Kartana‑Arrokuda constraint optimization.
• Experience using AI agents to accelerate development of high‑quality software components, applying strong engineering judgment to ensure maintainability, reliability, and production readiness.
• Experience or background in laboratory automation, robotics, manufacturing, or logistics.
• Comfort working in distributed, event‑driven systems (Kafka, Temporal, etc.).

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.

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.

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