Senior Numerical Optimization Engineer

Stack

Responsibilities

• ▹Design and implement advanced optimization algorithms that automatically generate manufacturing precedence graphs from 3D CAD geometry, BOMs, and manufacturing process definitions
• ▹Build production scheduling systems that replan manufacturing operations in under 10 minutes using mixed-integer programming, constraint programming, and metaheuristic optimization
• ▹Partner with manufacturing engineers and factory operators to translate production workflows into mathematical optimization models
• ▹Write production-quality code with comprehensive tests, participating in code review and architectural discussions
• ▹Apply computational geometry techniques to extract manufacturing dependencies, spatial constraints, and assembly sequences from CAD models
• ▹Develop and implement graph algorithms modeling manufacturing dependencies, resource constraints, tooling availability, and skill requirements
• ▹Formulate and solve large-scale optimization problems using commercial and open-source solvers (e.g., Gurobi, CPLEX, OR-Tools, SCIP)
• ▹Deploy and operate systems in factory environments, including edge compute clusters and OT networks
• ▹Perform rigorous testing, validation, and performance analysis to ensure sub-10-minute replanning times
• ▹Leverage AI tooling (coding assistants, automation) in the development workflow
• ▹Join an on-call rotation supporting production factory systems
• ▹Collaborate with data engineers to integrate optimization engines with real-time factory data, PLM, ERP, and MES systems

Requirements

• ▹5+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment
• ▹Deep expertise in numerical optimization: linear programming, mixed-integer linear programming, constraint programming, combinatorial optimization, or metaheuristics
• ▹Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, cloud or edge infrastructure
• ▹Expert Python proficiency for scientific computing and robust software development, with strong foundations in NumPy, SciPy, Pandas
• ▹Hands-on experience with optimization libraries and solvers (e.g., Gurobi, CPLEX, OR-Tools, SCIP, PuLP, CVXPY, Pyomo)
• ▹Strong theoretical and practical understanding of constraint satisfaction, graph algorithms, and computational complexity analysis
• ▹Experience building systems that operate reliably under real-world constraints (high availability, low latency, or constrained environments)
• ▹Demonstrated ability to formulate real-world problems as mathematical optimization models and implement production-grade solutions
• ▹Excellent written and verbal communication, collaborating across engineering, manufacturing, and operations
• ▹Degree in Computer Science, Applied Mathematics, Operations Research, Industrial Engineering, or related field, or equivalent practical experience
• ▹U.S. Person status required to access export-controlled data

Nice to have

• ▹Experience in manufacturing, industrial, or OT-adjacent domains (MES, SCADA, PLC integration, factory automation, IoT)
• ▹Master's or Ph.D. in Operations Research, Applied Mathematics, Computer Science, Industrial Engineering, or related quantitative field
• ▹Hands-on experience with computational geometry algorithms, CAD/CAM systems (STEP, IGES, OpenCASCADE), or 3D modeling APIs
• ▹Experience with production scheduling, job shop scheduling, resource-constrained project scheduling (RCPSP), or manufacturing optimization
• ▹Background in graph algorithms, network flow optimization, or precedence-constrained scheduling problems
• ▹Experience with heuristic and metaheuristic algorithms (genetic algorithms, simulated annealing, tabu search, ant colony optimization)
• ▹Familiarity with frontier AI tooling and AI coding assistants
• ▹Experience in hyper-growth startup-like environments
• ▹Familiarity with enterprise systems: ERP, MES, WMS, PLM, APS
• ▹Experience with performance-critical languages (C++, Rust, Java) for optimization kernels
• ▹Manufacturing industry experience: assembly lines, shipbuilding, aerospace, complex discrete manufacturing
• ▹Knowledge of BOM structures, manufacturing routing, work centers, production planning concepts
• ▹Experience with real-time optimization, online algorithms, or dynamic rescheduling under uncertainty
• ▹Eligible to obtain and maintain a U.S. Secret security clearance

Soft skills

What we offer

• ▹Comprehensive, competitive benefits package
• ▹Highly competitive equity grants included in the majority of full-time offers

About the company

Anduril Industries is a defense technology company whose Lattice OS gives military systems a real-time, 3D command-and-control layer; its mission is to bring cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.