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Anduril's Manufacturing Team is seeking a Senior Industrial Engineer to join our team. The role will support the development of simulation and optimization models to predict the behavior of manufacturing processes to drive real world adaptations. Executing on this responsibility will entail active collaboration with other Anduril teams, including but not limited to Supply Chain, Engineering, Quality, and Business Operations. The Manufacturing Team is responsible for rapidly iterating and building cutting-edge defense hardware, including static equipment, moving ground equipment, sensors, undersea, and flight vehicles, and scaling these products in our new 5M sq ft manufacturing facility, Arsenal-1.

The right person for this role can demonstrate holistic ownership on solving operational challenges with creative solutions in a fast-paced, resource-limited environment. This person will be flexible to change and ambiguity in their working environment, while working to ensure products are built and shipped on-time under stringent quality standards. If you are someone who thrives as the connective tissue among operational stakeholders to bring a production team forward, then this role is for you.
This role will be based temporarily at Santa Ana, CA for a 3 month training period before transitioning to Asheville, OH.

• Capture the current process including all physical constraints, business rules and detailed decision logic into a 3D simulation-based virtual factory to serve as process and operational knowledge base
• Create feasible results, plans and schedules for shop floor, warehouse, factory & supply chain execution in all the relevant time ranges by ensuring that all scheduled operations are resource capacity, material, and timeline feasible
• Maintain an adaptive, data generated and driven virtual factory to always retain a "current status" digital reference model for determining future performance of the factory/supply chain whenever required for different transformation projects and investment decisions
• Own the design of new production lines and work station layouts, both for low rate and full-rate production, leveraging a data-driven approach
• Proactively identify high variation processes, imbalances and bottlenecks caused by line layout, equipment constraints, staffing shortages, and other production inputs; flag constraints with the appropriate owners across Manufacturing, Supply Chain, Engineering, and Quality and drive to resolution
• Translate and drive action from metrics, KPIs, and reporting associated with monitoring production line health and efficiency, such as cycle time, throughput rate, capacity, utilization, and first pass yield
• Produce and maintain capacity plans, balanced line layouts, staffing allocations, and time standards for manufacturing work content
• Collaborate and drive operational improvements end-to-end for next-generation defense products as we scale in maturity and production rate
• Work across domains, from execution-based work to the strategic future state of a product or business line

• 8+ years past experience in a fast-paced manufacturing environment
• Experience with Technomatix "Plant Sim" simulation software or equivalent DES (Promodel, FlexSim, Simio, etc,) OR basic knowledge in object-oriented computer programming (example languages: Python, R, C++, Java, etc.) OR working with large data sets with SQL or No-SQL
• Ability to read technical documentation such as facility drawings, assembly drawings, technical specifications and procedures for manufacturing processes for electronics, mechanical and electromechanical assembly, system tests, and/or structures work
• Ability to work in ambiguity
• Eligible to obtain and maintain an active U.S. Secret security clearance

• Bachelor's degree in Manufacturing Engineering, Industrial Engineering, or related technical field
• Prior work designing and/or setting up new production lines or factories - from process mapping through to collaborating with infrastructure design partners and detailed work station design
• Experience with Lean Manufacturing and/or Continuous Improvement and Six Sigma principles in action
• Experience interacting with data via data visualization applications or SQL queries
• Ability to completely own a value chain from start to finish, measuring each step of the process, creating actionable tasks that culminated in a significant and sustainable business improvement
• Prior experience with ERP, WMS and MES systems
• Knowledge stochastic \ deterministic models when to apply them
• Proficient in handling large data sets, including filtering, identifying trends, and graphical representation.
• Candidate should have knowledge of design engineering and manufacturing engineering processes including:
• 3D CAD design/modeling of parts and assemblies
• 3D factory layout
• Manufacturing process planning of fabricated parts, and complex discrete assembly process
• Manufacturing simulation of assembly processes, human ergonomics, and discrete event simulation
• Strong manufacturing data analytics and statistical analysis background with proficiency in statistical process control