Senior PLM Software Engineer, Manufacturing Systems
Anduril · Costa Mesa, California, United States
- Location
- Costa Mesa, California, United States
- Salary
- $191,000 - $253,000 USD
- Experience
- 8+ years
- Funding
- $3.7B
- Posted
- Oct 16, 2026
Anduril is hiring a Senior PLM Software Engineer, Manufacturing Systems based in Costa Mesa, California, United States. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at AndurilRole details
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 Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. We build the software-defined shipyard. That means the full technology stack running Anduril's shipbuilding factories: the data infrastructure that makes every machine and sensor visible in real time, ArsenalOS (our manufacturing execution system that workers and planners use every shift), the scheduling engine that replans production in minutes instead of days, and the AI systems that eliminate manual toil from both the shop floor and business operations. This work is anchored by Arsenal-2, our software-defined shipyard being built in Baltimore County, Maryland. It's part of a new $6.6 billion investment in America's submarine industrial base. ArsenalOS is the digital backbone of that yard. It connects fabrication and outfitting to material movement and inspection. Planners get one real-time view of production. We aren't waiting for the yard to open. Development is already underway here in Orange County, California. The team is proving out the manufacturing methods and digital workflows that will scale across the shipyard network. MDP operates at the boundary between Operational Technology and Information Technology. Our systems live where factory-floor machines, edge compute, and OT networks meet enterprise platforms and cloud infrastructure. We incubate solutions close to the production line, validate them with real operators building real hardware, harden them for reliability and security, and then scale them across multiple sites. The environment is fast, physical, and consequential. When our systems go down, production stops. The output of our work is not a dashboard: it is a ship. This is not a support function. It is a strategic investment by Anduril in the premise that digitizing the manufacturing lifecycle end-to-end, from engineering definition through scheduling through execution through field feedback, is how Heavy Metal will out-build, out-adapt, and out-scale the traditional defense industrial base. MDP is scaling from a founding team to 70+ engineers across multiple U.S. sites. You will be joining early, working on hard problems with real operational stakes, and shaping how manufacturing software is built at Anduril from the ground up. ABOUT THE JOB MDP is building the manufacturing digital thread that connects engineering release to the machines and inspection systems on the factory floor. You'll own the Development and integration integration layer between Teamcenter and Anduril's ArsenalOS platform so CAM programs, CAI/CMM programs, tools and fixtures, and inspection results move automatically instead of by hand. WHAT YOU'LL DO Build and own the integrations that carry CAM and CAI data out of Teamcenter and onto the shop floor, including NX CAM outputs, DNC dispatch to machine controls and the return path for as-run data. Develop custom Teamcenter extensions using ITK and SOA, along with BMIDE data model changes and Active Workspace interfaces, to support manufacturing workflows that off-the-shelf configuration can't reach. Close the inspection loop by integrating CAI and metrology systems so measured results land back in the digital thread as structured data rather than static reports. Make EBOM to MBOM propagation and model-based definition data flow automatically into downstream manufacturing and quality systems. Unblock partner teams across scheduling, applied AI and manufacturing systems by exposing manufacturing data through APIs they can build on. 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. Deploy and operate your systems in factory environments, including edge compute clusters and OT networks. 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. REQUIRED QUALIFICATIONS 8+ years of experience in a software engineering role building production systems, ideally in a fast-paced environment. Deep expertise in Teamcenter development: 5+ years hands-on with ITK and SOA customization in C++ and Java, BMIDE data modeling and Active Workspace. Demonstrated experience building custom Teamcenter handlers, services and integrations, not only configuring workflows and templates. Working knowledge of manufacturing data domains, including CAM, CAI, CMM, and NC programming outputs, machine dispatch, metrology and inspection data, and the relationship between EBOM and MBOM. Experience authoring and developing NX Open programs to automate NX/Design Center workflows. Strong technical fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud or edge infrastructure. Experience building systems that must operate reliably under real-world operational constraints (high availability, low latency, or constrained environments). Excellent written and verbal communication skills, with the ability to collaborate across engineering, manufacturing, and operations teams. Degree in C
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