Apptronik

Apptronik

Manufacturing Engineer (Supply Chain) - Mechanical

Austin, TX

Sponsorship not specifiedDetected 27 days ago
AccessibilitySupply ChainLogisticsProcess ImprovementProcurementERPGD&TRoboticsCAMMechanical DesignResearchCollaboration

About the role

  • This is a hands-on manufacturing engineering role.
  • Review and approve supplier process documentation including control plans, PFMEAs, setup sheets, and work instructions
  • New Product Introduction & Supplier Qualification

Responsibilities

  • Own the end-to-end NPI lifecycle at suppliers - from manufacturing feasibility review through PPAP/FAI approval and ramp to rate production for mechanical components
  • Collaborate with design and materials engineers to ensure DFM/DFA feedback is incorporated early - including material selection, tolerancing strategy, draft angles, wall thicknesses, and feature accessibility for machining or casting
  • Develop and execute supplier qualification plans for new parts, engineering changes, and supplier transitions
  • Lead root cause analysis and corrective action (8D, 5-Why, Fishbone) for supplier quality escapes on mechanical parts; drive containment, disposition, and permanent resolution
  • Analyze supplier quality and delivery metrics (PPM, OTD, first-pass yield, scrap rates) to identify systemic issues and develop data-driven improvement plans
  • Create and disposition non-conformance reports and deviations, working with engineering counterparts on rework, repair, or use-as-is decisions
  • Identify and implement product and process improvements that reduce cost, mitigate supply risk, eliminate defects, and improve cycle time - with particular focus on optimizing machining cycle times, reducing casting scrap, and transitioning prototype additive parts to production-intent processes
  • Function as the manufacturing engineering liaison between purchasing, design engineering, production, and the supplier base
  • Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life.

Requirements

  • Strong understanding of engineering drawings, GD&T (ASME Y14.5), and how geometric tolerances translate to fixturing, machining strategy, and inspection methods
  • Working knowledge of PPAP, APQP, FMEA (process), control plans, MSA, and SPC - not just awareness, but direct application in a manufacturing or supplier quality context
  • Experience leading root cause and corrective action investigations (8D methodology) with suppliers
  • Familiarity with quality management system standards (ISO 9001, IATF 16949, AS9100, or NADCAP) and how they translate to shop-floor controls
  • Proficiency with metrology tools and techniques relevant to mechanical hardware - CMM programming/interpretation, surface profilometry, optical measurement, and manual inspection tools
  • Practical knowledge of mechanical material, heat treatment processes, and surface finish specifications and how they affect part performance and manufacturability
  • Ability to travel up to 30% (domestic and international supplier visits)
  • Must be able to lift 15 pounds at times
  • Must be able to stand and walk on manufacturing floors for extended periods during supplier visits

Nice to have

  • Experience in robotics, aerospace, defense, automotive, or other high-reliability mechanical product environments
  • Hands-on experience with CAM software or CNC programming (understanding of toolpath strategy, feeds/speeds, and fixturing approaches)
  • Six Sigma Green Belt or Black Belt certification
  • Experience with MRP/ERP systems and BOM management
  • Background in should-costing and manufacturing cost modeling for machined, cast, and fabricated parts
  • Experience scaling production from prototype or low-rate initial production (LRIP) to full-rate production
  • Familiarity with ASTM or AMS material and process specifications

Benefits

  • Vision to read printed materials, a computer screen, and inspect parts and assemblies

This listing is sourced directly from Apptronik's careers page and normalized into a canonical job model.