Senior Numerical Optimization Engineer (Arsenal 2)
Anduril· Maritime & Maneuver Dominance : Heavy Metal - Engineering & Operations : Software Engineering
Santa Ana, CA$191k - $253kfull-timePosted 5d ago
About the role
Senior role focused on scheduling optimization for shipyard production, formulating a large-scale graph-based scheduling problem, implementing and benchmarking solvers, and delivering production-grade, observable optimization systems with real operational impact.
Responsibilities
- Formulate shipyard production scheduling as a mathematical optimization problem covering precedence with lag, disjunctive spatial exclusion, multi-resource capacity with qualification matching, calendars and shifts, and material availability.
- Own the solver-agnostic scheduling interface, integrate commercial and open-source solvers behind it, and benchmark them against each other on makespan, stability, resource utilization, and solve time.
- Build the two-tier replan path: fast local repair that returns a feasible schedule in seconds for a bounded affected subgraph, and background global re-solve that runs for minutes and swaps in when it beats the incumbent plan.
- Develop the stability objective that keeps a replan from needlessly moving work the factory has already staged, and the policy that decides when a better plan is worth the churn.
- Establish what "good enough" means when there is no ground truth: LP relaxation lower bounds, best-of-N ensemble upper bounds, quality ratios, and solution-quality regression tests that run on every change.
- Research and evaluate approaches beyond the V1 solver, including decomposition, metaheuristics, rolling-horizon methods, and non-traditional hardware where they earn their place.
- Turn disruption events into replans: determine blast radius across the operation graph, scope the re-solve, merge the result into the live schedule, and resolve boundary conflicts.
- Build adaptive planning templates that generate recovery work by composing geometric queries with scheduling logic.
- Compose scheduled operations into work orders a manufacturing execution system can dispatch, and recompose them when the plan changes.
- Write production-quality code with comprehensive tests, participate in code review and architectural discussion, and instrument your systems so solution quality is observable, not just uptime.
- Partner with manufacturing engineers, planners, and factory operators to turn how the yard actually works into constraints and objectives.
- Work alongside the computational geometry engineer and data engineers to integrate geometry precedence from CAD and the operation graph/live factory event stream.
- Leverage AI tooling in development workflow and contribute to team engineering practices.
- Join an on-call rotation supporting production scheduling systems.
Qualifications
- 5+ years of experience building production software systems, ideally in a fast-paced environment.
- Deep expertise in numerical optimization, including linear programming, mixed-integer linear programming, constraint programming, combinatorial optimization, or metaheuristics.
- Demonstrated ability to formulate real-world problems as mathematical models and deploy them in production systems.
- Hands-on experience with optimization solvers and libraries (Gurobi, CPLEX, OR-Tools, SCIP, PuLP, CVXPY, Pyomo).
- Expert proficiency in Python for scientific computing with NumPy, SciPy, Pandas.
- Strong grounding in graph algorithms, constraint satisfaction, and computational complexity analysis.
- Experience with scheduling or resource allocation at scale and handling real operational constraints.
- Excellent communication skills to explain optimization trade-offs to non-experts.
- Advanced degree in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or equivalent practical depth.
- U.S. Person status required due to export controlled data.
Skills
Required:Numerical optimization
Benefits
- Comprehensive benefits package for health, recovery, and future planning.
- Competitive equity grants included in most full-time offers.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Anduril
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