Senior Software Engineer, Anduril Industries

• 3+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment
• Deep expertise in data engineering with strong foundations in algorithms, data structures, and computational complexity
• Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure
• Proficiency in programming languages used for data engineering and numerical computing (e.g., Python, Java, Scala, C++, Rust)
• Experience with computational geometry, graph algorithms, or numerical optimization techniques
• Strong understanding of data architecture principles and best practices for handling large-scale datasets
• Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, or constrained environments)
• Strong problem-solving skills and ability to translate complex manufacturing problems into algorithmic solutions
• Excellent written and verbal communication skills, with the ability to collaborate across engineering, manufacturing, and operations teams
• Degree in Computer Science, Information Systems, Engineering, Mathematics, Operations Research, or related technical field, or equivalent practical experience
• U.S. Person status is required as this position needs to access export controlled data

Desirable

• As a Senior Software Engineer, Data Engineering on the LOKI initiative, you will develop the data systems that power intelligent manufacturing scheduling and optimization
• You will build systems that generate manufacturing precedence graphs from 3D geometry and BOMs, and create optimization engines that replan production schedules in under 10 minutes when disruptions occur on the factory floor
• Build high-performance data processing systems that replan production schedules in under 10 minutes when disruptions occur, using constraint solvers and numerical optimization techniques
• Partner with manufacturing engineers and factory operators to understand production workflows and translate them into software requirements
• Write production-quality code with comprehensive tests, participating in code review and architectural discussions
• Design and implement data access layers for computational geometry operations, enabling efficient extraction of features, dependencies, and manufacturing sequences from CAD models
• Develop graph algorithms that model manufacturing dependencies, resource constraints, and optimization objectives across complex assembly operations
• Integrate data from PLM, ERP, MES, and CAD/CAM systems to create a unified data foundation for scheduling and optimization algorithms
• Deploy and operate your systems in factory environments, including edge compute clusters and OT networks
• Implement and optimize constraint solvers (e.g., MIP, CP, SAT) and numerical optimization algorithms for production scheduling under real-world constraints
• Leverage AI tooling (coding assistants, automation) in your development workflow and contribute to team engineering practices
• Join an on-call rotation supporting production factory systems
• Monitor and optimize the performance of scheduling algorithms to ensure sub-10-minute replanning times at production scale