Production Mechanical Engineer, SpaceActive$175K

The opportunity

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U. S.

What you'll do

  • Use first principles as a basis for decisions and continuously look for: opportunities to simplify designs, reduce part count, and design for manufacturing, assembly, and test (DFM/DFA/DFT) — improving producibility, repeatability, and reliability at higher production quantities

  • Modify and mature existing designs to resolve problems realized in production: – 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 (AI&T) 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: revise parent assembly models, drawings, and BOMs when subcomponent designs change, ensuring next-higher-level documentation stays current and consistent

  • Act as the Responsible Engineer for your hardware in production: disposition non conformances, author red-lines and rework/retrofit instructions

What they're looking for

  • + 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