Senior Production Application Engineering
- Market p25–p75
- $139k–$216k
- Anduril p25–p75
- $186k–$223kn=8
- Opened · 30d
- +277
- Closed · 30d
- −285
- Opened · 7d
- +1,3378% of open
- All software engineering
- 75,398open
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 Production Analytics team is seeking an Senior Production Application Engineer to join our team. The Production Analytics team plays a pivotal role in optimizing production 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 production processes and digital tools are efficient, scalable, and integrated with the latest industry standards.
ABOUT THE ROLE
As a Senior Production Application Engineer 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 production 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 production leadership to develop and implement digital production strategies / solutions that enhance productivity, reduce costs, and improve quality.
- Conduct detailed analysis of manufacturing data, including production metrics, process flow, and resource utilization, 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 production processes and strategies for continuous improvement.
- Lead and facilitate operational excellence initiatives to optimize production processes and operations.
- Provide strategic input into capacity planning and workforce management to ensure scalability of operations.
- Implement and refine production KPIs to measure performance and drive accountability.
REQUIRED QUALIFICATIONS
- Bachelor’s degree in Industrial Engineering, Operations Management, Data Science, Software Engineering or related field. Master’s degree preferred (either MBA of MS of Engineering).
- 8 + years of experience and expertise developing insights and solutions using data visualization tools: SQL, DataBricks, PLTR Foundry, Python, Typescript, Tableau, PowerBI, MS VBA, etc...
- Understanding of data science and exposure to data pipelines such and Dagster, SQLmesh, etc...
- Proven experience in a production 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, organize, and analyze significant amounts of information with attention to detail and accuracy.
- Strength working with production leadership to conceptualize solutions and gain / understand requirements
- Familiarity with production software and advanced proficiency in statistical analysis and data presentation tools.
- Excellent communication and presentation skills, capable of conveying complex information in an understandable manner.