Senior Software Engineer, Autonomous Lab Scheduling

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

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.