opengreenhousea16z
Senior Manufacturing Engineer, Test Analytics
Anduril Industries
LocationSydney, New South Wales, Australia, Alexandria, Australia (SYD-11)
Last observed2026-07-02 05:06:11.233087
Job ida16z-anduril-industries:greenhouse:4960674007
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril’s Digital Manufacturing, Manufacturing (MFG) Analytics team is seeking an Senior Manufacturing Engineer in Data Analytics to join our team. The MFG Analytics team plays a pivotal role in optimizing manufacturing operations through the implementation and management of proof of concept, advanced digital solutions, and improvement of existing MES / ERP / WMS systems. The team ensures that manufacturing processes and digital tools are efficient, scalable, and integrated with the latest industry standards. ABOUT THE ROLE As a Manufacturing Engineer, Data Analytics at Anduril, you will be a critical driver of operational excellence. You will leverage diverse operational data (production, quality, supply chain, equipment performance) to identify bottlenecks, optimize processes, and unlock new levels of efficiency and scalability for our cutting-edge manufacturing operations. Collaborating with product line and functional teams, you will design, develop, and validate data-driven solutions as proofs of concept, directly informing strategic decisions on systematic implementation and ensuring our production methods are robust, agile, and future-proof. WHAT YOU’LL DO Work with manufacturing leadership to develop and implement digital manufacturing strategies / solutions that enhance productivity, reduce costs, and improve quality. Conduct detailed analysis of manufacturing data, including production metrics, process flow, and resource utilisation, to identify areas for improvement. Collaborate with cross-functional teams to ensure alignment of manufacturing strategies with overall business objectives. Monitor industry trends and best practices to keep our manufacturing processes at the cutting edge. Create and maintain comprehensive documentation of manufacturing processes and strategies for continuous improvement. Lead and facilitate kaizen, lean manufacturing, or six sigma initiatives to optimise production processes. Provide strategic input into capacity planning and workforce management to ensure scalability of operations. Implement and refine manufacturing KPIs to measure performance and drive accountability. REQUIRED QUALIFICATIONS Bachelor’s degree in Manufacturing Engineering, Industrial Engineering, Operations Management, Data Science, Software Engineering or related field. Master’s degree preferred (either MBA of MS of Engineering). Experience and expertise developing insights and solutions using data visualisation tools: Python, Typescript, SQL, Tableau, PowerBI, PLTR Foundry, MS VBA, etc... Proven experience in a manufacturing strategy or analysis role, with a track record of tangible insights and their implementations that drove results. Ability to quickly understand current operations and potential issues on the product line and can speak the language. Strong analytical skills with the ability to collect, organise, and analyse significant amounts of information with attention to detail and accuracy. Strength working with manufacturing leadership to conceptualise solutions and gain / understand requirements Familiarity with manufacturing software and advanced proficiency in statistical analysis and data presentation tools. Excellent communication and presentation skills, capable of conveying c
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