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Supplier Development Engineer - Mechanical; R4561) in Dallas

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Energy Jobline ZR
Part Time, Seasonal/Temporary position
Listed on 2026-09-13
Job specializations:
  • Engineering
    Quality Engineering, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Description

Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai.

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Job Description: We are seeking a highly skilled and motivated Supplier Development Engineer to join Shield AI, focusing on machined parts. The ideal candidate will have a strong background in supplier development, quality engineering, production process improvement, and supply chain management within the aerospace industry. This role is critical in enhancing supplier performance by solving supplier challenges that impact quality/on-time delivery/scaling, supporting the onboarding of suppliers to new designs, and delivering on our mission to deliver affordable and autonomous mass t you'll do:

  • Process Improvement:
    Audit and embed into core supplier processes to understand improvement opportunities to cost, lead-times, and quality
  • Quality Assurance:
    Conduct on-site audits to root cause supplier quality issues or performance challenges
  • Supplier Development:
    Assess and improve supplier capabilities, ensuring alignment with engineering and operational priorities.
  • Engineering Technical Support:
    Provide technical guidance to suppliers on part specifications, manufacturing processes and standards, and quality measures
  • Supplier Performance Monitoring:
    Track and analyze supplier performance metrics, including delivery, quality, and cost. Implement corrective actions and continuous improvement plans as necessary.
  • Risk Management:

    Identify and mitigate risks within the supply chain to ensure uninterrupted production and delivery of components
  • New Product Introduction (NPI):
    Support the introduction of new products by ensuring suppliers meet all quality and delivery requirements during the development phase

Required qualifications:

  • 7 plus years of supply chain, manufacturing engineering, process engineering,
  • CAD (Solid Works, NX, CATIA, etc.)
  • Excel / data analysis
  • PLM or ERP systems
  • Travel up to 50%
  • Can read drawings + GD&T confidently
  • Understand machining/welding/forming processes
  • Led root cause investigations (8D, 5 Whys)
  • Worked with suppliers or production lines

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits.

Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of , , ancestry, , , , , , marital status, , or Veteran status. If you have a or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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