Jobs · Engineering · California

Manufacturing Engineer

Mach Industries · Huntington Beach, CA · 2 wk ago
On-siteEngineeringFull-time

About the role

Mach Industries is a rapidly growing defense technology company focused on developing next-generation autonomous defense platforms. The company operates with startup agility and ambition, aiming to redefine the future of warfare through cutting-edge manufacturing and innovation at speed.

Key Responsibilities

  • Take extreme ownership of production planning from late-stage prototype builds through Mass-Production ramp at Mach’s Forge Factories.
  • Design high-throughput manufacturing systems that achieve world-class First-Pass-Yield at target cycle times.
  • Drive product design optimization using first-principles Design for Manufacture and Assembly (DFMA).
  • Develop and execute fast-paced, robust Manufacturing launch schedules.
  • Lead cross-functional Make vs. Buy studies with supply chain to secure rate-capable vendors and on-time part availability.
  • Lead Manufacturing Virtual-Build events, covering fabrication feasibility/optimization, assembly sequencing, clearance analysis (hand/tool/material), GD&T, DVA, part presentation and handling, and tolerance stack-up risks (among other topics).
  • Define the full manufacturing system via coherent Material Bill of Materials (MBOM), Bill of Operations (BoO), and Bill of Engineering (BoE) data structures, captured in EasyPlan, DELMIA, Heliux, or an equivalent supporting tool.
  • Collaborate with controls engineering to ideate, deploy automation cells and conveyance; project-manage vendors through Factory Acceptance Testing (FAT) and onsite bring-up (SAT).
  • Own headcount/equipment capacity planning, OPEX/CAPEX estimates, PMTS cycle time analysis (MODAPTS/MOST/MTM), factory layouts (AutoCAD), and NIOSH-compliant ergonomics.
  • Support PFEP (dunnage & material display), release controlled work instructions/quality gates in MES, and provide daily production support during validation and factory production ramp.
  • Drive quality with Statistical Process Control (SPC), PFMEA, 8D root cause analysis, and continuous improvement alongside technicians and cross-functional teams.

Required Qualifications

  • Bachelor’s degree in industrial & systems, mechanical, aerospace, manufacturing engineering, or equivalent experience.
  • 3-5+ years in manufacturing, process engineering, or industrialization roles (internship and school projects experience qualifies).
  • Strong background in process documentation and quality systems.
  • Familiarity with GD&T, tolerance analysis, and process capability.
  • Hands-on experience with shop floor processes (machining, welding, composites, additive manufacturing, assembly, test).
  • Experience designing components and assemblies through first-principles application of DFMA strategies.
  • Experience using first-principles approach to solving complex engineering problems.
  • Familiarity with Manufacturing System Optimization strategies in high-volume production environments.
  • Proficient in CAD, preferably Siemens NX, Catia, Solidworks.
  • Exceptional verbal and written communication skills, with the ability to collaborate effectively in a global environment.
  • Eagerness to learn and adapt in a dynamic startup environment.
  • Bar-raising analytical and problem-solving skills with high attention to detail.
  • Self-directed with a positive attitude and team spirit.

Preferred Qualifications

  • Experience in high-volume and/or high-tech Manufacturing environments, including but not limited to Automotive and Aerospace Technology organizations.
  • Experience leveraging Lean Six Sigma manufacturing principles during the planning, ramp, and steady state production phases of the launch cycle.
  • Proficient in Engineering Probability and Statistics based problem-solving, preferably using software tools (Minitab, etc.).
  • Experience with Discrete Event Simulation Softwares (Simio, Arena, Simul8, etc.).
  • Demonstrated knowledge of Manufacturing Ergonomic Standards, incl. NIOSH.
  • Knowledge of PMTS methods for calculating predicted cycle times.
  • Experience authoring DFMEA/PFMEA engineering assessments.

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