Anduril

1 day ago

Senior Numerical Optimization Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Develop scheduling and optimization algorithms for manufacturing, turning 3D geometry and BOMs into manufacturing precedence graphs and replanning production in under 10 minutes during disruptions. Build and test production-grade systems using mixed-integer programming, constraint programming, metaheuristics, computational geometry, and graph algorithms. Partner with factory operators and engineers, deploy into edge/OT environments, and integrate optimization engines with real-time factory data, PLM/ERP/MES systems while supporting on-call production rotations.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement optimization algorithms that generate manufacturing precedence graphs from 3D CAD geometry, bills of materials, and process definitions.
•Build scheduling systems that replan manufacturing operations in under 10 minutes when disruptions occur using mixed-integer and constraint programming plus metaheuristics.
•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.
•Deploy and support optimization systems in factory environments, including edge compute clusters and OT networks, with rigorous testing and performance validation.

Pay and Benefits

Salary: USD 191,000 - 253,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years building production software systems in fast-paced environments.
•Expertise in numerical optimization (e.g., linear programming, mixed-integer linear programming, constraint programming, combinatorial optimization, metaheuristics).
•Strong software architecture and distributed-systems fluency, including APIs, CI/CD, and cloud or edge infrastructure.
•Expert proficiency in Python for scientific computing, including NumPy, SciPy, and Pandas.
•Hands-on experience with optimization solvers and modeling libraries (e.g., Gurobi, CPLEX, OR-Tools, SCIP, PuLP, CVXPY, Pyomo), plus ability to formulate optimization models and implement production-grade solutions.

Experience:5+ yearsNumerical optimizationManufacturingIndustrialOTGraph algorithms

Education:

Skills:CommunicationCollaborationArchitectural thinkingTesting mindsetProblem-solving

Languages:English

Tech Stack:PythonNumPySciPyPandasGurobiCPLEXOR-ToolsSCIPPuLPCVXPYPyomoMixed-integer programmingConstraint programmingMetaheuristicsComputational geometryGraph algorithmsDistributed systemsCI/CDCloud infrastructureEdge compute

Eligibility

Security Clearance:Secret

Company Brief

Anduril

Designs and builds advanced defense systems combining autonomous aircraft, sensors, and AI-driven software for military and national security applications, focused on modernizing battlefield capabilities and distributed sensing.

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Costa Mesa, United States

Founded: 2017

Website LinkedIn

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Anduril

1 day ago

Senior Numerical Optimization Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design and implement optimization algorithms that generate manufacturing precedence graphs from 3D CAD geometry, bills of materials, and process definitions.
•Build scheduling systems that replan manufacturing operations in under 10 minutes when disruptions occur using mixed-integer and constraint programming plus metaheuristics.
•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.
•Deploy and support optimization systems in factory environments, including edge compute clusters and OT networks, with rigorous testing and performance validation.

Pay and Benefits

Salary: USD 191,000 - 253,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years building production software systems in fast-paced environments.
•Expertise in numerical optimization (e.g., linear programming, mixed-integer linear programming, constraint programming, combinatorial optimization, metaheuristics).
•Strong software architecture and distributed-systems fluency, including APIs, CI/CD, and cloud or edge infrastructure.
•Expert proficiency in Python for scientific computing, including NumPy, SciPy, and Pandas.
•Hands-on experience with optimization solvers and modeling libraries (e.g., Gurobi, CPLEX, OR-Tools, SCIP, PuLP, CVXPY, Pyomo), plus ability to formulate optimization models and implement production-grade solutions.

Experience:5+ yearsNumerical optimizationManufacturingIndustrialOTGraph algorithms

Education:

Skills:CommunicationCollaborationArchitectural thinkingTesting mindsetProblem-solving

Languages:English

Eligibility

Security Clearance:Secret

Company Brief

Anduril

Industry: Defense Technology

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: Costa Mesa, United States

Founded: 2017

Website LinkedIn