Senior Scheduling Optimization Engineer for Shipyards

Anduril-1; Santa Ana (CA); On-site; USD 191,000 - 253,000; Full time

Job summary

Anduril Industries in Santa Ana, CA, seeks a Senior Numerical Optimization Engineer to own shipyard production scheduling. You will model complex precedence, resource, and qualification constraints and build fast solvers that replan within minutes of disruptions.

Role emphasizes production-grade coding, testing, and collaboration with factory operators to ensure reliable, scalable scheduling systems in a defense manufacturing context.

Qualifications

• 5+ years of experience building production software systems.
• Deep expertise in numerical optimization, including LP, MILP, CP, combinatorial optimization, or metaheuristics.
• Ability to formulate real-world problems as mathematical models and deploy in systems.
• Hands-on experience with optimization solvers and libraries (Gurobi, CPLEX, OR-Tools, SCIP, PuLP, CVXPY, Pyomo).
• Advanced proficiency in Python for scientific computing and robust software development.
• Strong grounding in graph algorithms, CSP, and computational complexity.
• Experience with scheduling or resource allocation at large scale where exact methods struggle.
• Advanced degree or equivalent depth built in practice.
• U.S. Person status is required for export controlled data.

Responsibilities

• Formulate shipyard production scheduling as a mathematical optimization problem with precedence, spacing, resources, and calendars.
• Own the solver-agnostic scheduling interface and benchmark solvers on makespan, stability, and utilization.
• Build fast local repair and global re-solve paths for replanning.
• Develop stability objectives to minimize churn during replans.
• Explore decomposition, metaheuristics, rolling-horizon methods, and hardware acceleration.
• Translate schedules into work orders for the MES.
• Write production-grade code with tests and participate in code reviews.
• Collaborate with manufacturing engineers and data teams to encode constraints.
• Support production scheduling systems on call.

Skills

Numerical optimization

Python (scientific)

Scheduling

Problem formulation

Communication

Education

Advanced degree in OR/Math/CS/IE

Tools

Gurobi

CPLEX

OR-Tools

SCIP

PuLP

CVXPY

Pyomo

Python

Job description

Anduril Industries in Santa Ana, CA, seeks a Senior Numerical Optimization Engineer to own shipyard production scheduling. You will model complex precedence, resource, and qualification constraints and build fast solvers that replan within minutes of disruptions.

Role emphasizes production-grade coding, testing, and collaboration with factory operators to ensure reliable, scalable scheduling systems in a defense manufacturing context.