Staff Engineer, Composite Manufacturing

Shield AI Shield AI · Defense · Dallas, TX · Production

Staff Engineer, Composite Manufacturing role at Shield AI, focusing on scaling production lines for next-generation jets. Responsibilities include leading manufacturing process design, scaling production, launching new lines, developing composite part definitions, deploying infrastructure, and mentoring engineers. Requires 7+ years of manufacturing engineering experience, CAD proficiency, and composite manufacturing knowledge.

What you'd actually do

  1. Act as a technical leader across programs, owning the design and optimization of high-impact manufacturing processes.
  2. Drive the scale-up of our flagship product line, balancing throughput, quality, and cost.
  3. Lead the manufacturing engineering effort for launching a new production line for a larger and more capable jet.
  4. Develop CPD/Fibersim definitions & producibility assessments for composite parts.
  5. Scope and deploy critical production infrastructure, including manufacturing equipment, tooling, and hardware/software systems.

Skills

Required

  • Bachelor’s degree in Engineering, or a related field, or relevant experience
  • 7+ years of experience in manufacturing engineering, with a focus in rapid growth environments
  • Proficiency in CAD software (Solidwork, NX, or CATIA)
  • Experience with Composite Part Design (CPD), or Fibersim, and Generative Shape Design (GSD)
  • Experience in owning the scale of production processes in a startup or rapid-growth environment
  • Strong understanding of manufacturing composites processes, including machining, lamination, and/or assembly
  • Experience with process improvement methodologies, such as Lean Manufacturing or Six Sigma
  • Demonstrated ability to work in a fast-paced, high-pressure environment and adapt to changing priorities

Nice to have

  • Knowledge of quality standards, such as AS9100 or ISO 9001
  • Familiarity with advanced manufacturing technologies, such as additive manufacturing or automation systems
  • Knowledge of ERP/MRP systems and data-driven decision-making in a manufacturing context
  • Hands-on experience with manufacturing equipment and tooling design
  • Strong project management skills, including experience managing multiple priorities and deadlines

What the JD emphasized

  • owning the scale of production processes in a startup or rapid-growth environment