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Salary: USD 129,000 - 171,000 / annual
Anduril Industries is a defense technology company developing AI-powered military systems and space capabilities. The Space team is expanding AI-powered capabilities for Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners, developing fully integrated hardware and software systems including Lattice for Space Missions and modular payloads.
In this role, you will own the production readiness of space hardware, taking maturing and flight-proven designs and driving them to repeatable, higher-rate manufacturing. You will intelligently pace design changes with a holistic view of the program and its build schedule.
Key responsibilities include:
- Use first principles to simplify designs, reduce part count, and design for manufacturing, assembly, and test (DFM/DFA/DFT) to improve producibility, repeatability, and reliability at higher production quantities
- Modify and mature existing designs to resolve production problems including fit, tolerance, assembly, and yield issues
- Update designs to reduce build and test cycle times, improve first-pass yield, and remove bottlenecks from assembly, integration, and test operations
- Own bills of material (BOMs) and engineering drawings—release and maintain part and assembly drawings, GD&T, and BOM structure; process engineering changes (ECO/ECN) and manage revisions and effectivity
- Propagate engineering changes through assembly hierarchies, revising parent assembly models, drawings, and BOMs when subcomponent designs change
- Act as the Responsible Engineer for hardware in production: disposition nonconformances, author red-lines and rework/retrofit instructions
- Partner with manufacturing, supply chain, and test engineering to transition designs from low-rate to higher-rate production and stand up repeatable work instructions, tooling, and fixtures
- Build and validate prototypes and production trial builds, analyze failures, and feed lessons learned back into design and build processes
- Travel to test sites, production facilities, and vendors as needed
- Create excellent technical documentation including assembly and work instructions, procedures, test plans and reports, vendor specifications and statements of work
REQUIREMENTS:
- BS or higher degree in engineering or a hard science
- CAD skills (any platform) and ability to make high-quality engineering drawings meeting common industry standards, including GD&T
- Experience taking hardware designs into manufacturing and production, including design for manufacturing/assembly and drawing release; experience transitioning hardware from prototype or low-rate to higher-rate production
- Working knowledge of BOM structures, revision control, and engineering change orders (ECO/ECN), ideally within a PLM/PDM system
- Demonstrated hands-on fabrication and assembly skills; experience working with hand tools, mill, lathe, etc.
- Strong understanding of engineering fundamentals: heat transfer, statics, solid mechanics, materials
- Familiarity with tolerance analysis and inspection methods
- Excellent attention to detail
- Highly motivated, self-starting, and able to perform duties autonomously without supervision
- Very organized and willing to establish scope and requirements for ill-defined problems
- Passion for defending the United States and her allies
- Ability to obtain and hold a U.S. Top Secret security clearance
PREFERRED QUALIFICATIONS:
- 4+ years of mechanical design or production/sustaining engineering experience in a professional setting with space hardware
- Experience in NX/Teamcenter or equivalent CAD/PLM
- Experience with nonconformance disposition and Material Review Board, root cause and corrective action (RCCA), and first article inspection (FAI)
- Experience designing tooling, fixtures, and ground support equipment to improve build and test throughput
- Ability to integrate electronic components (PCBAs, motors, sensors, etc.) into mechanical designs
- Experience developing code in higher-level languages (e.g., Python, MATLAB, C++) for analytical models, data acquisition, and automation
- Experience with statistical process control, tolerance stack-ups, or design of experiments (DOE) to improve yield
