Assembly and Automation R&D Level 4

8 - 10 years experience  •  Aerospace / Defense

Salary depends on experience
Posted on 02/21/18
8 - 10 years experience
Aerospace / Defense
Salary depends on experience
Posted on 02/21/18

The Role

Analyzes, researches, designs and develops materials and their related fabrication and application processes to develop and optimize materials for use in engineering design of and/or application in structures, systems and subsystems. Applies principles of chemistry, physics, and material behavior to develop metallic, non-metallic and composite material and processing specifications, fabrication and assembly processes. Develops, analyzes and applies material properties and design-allowables, processing methods and quality engineering specifications and standards. Reviews and approves engineering drawings and documents for part conformance and to assist in resolving part failure analysis for fabrication, assembly and in service problems. Applies knowledge of aerospace mechanical/structural component fabrication and assembly processes and technologies to establish research and development strategies and plans. Develops and matures technology. Facilitates technology implementation in production and provides support to the user community.

Key Accountabilities

  • Research focus areas include automation equipment
  • Assembly processes include drilling, fastening and inspection
  • May include machine specification and equipment
  • Automated and semi-automated equipment design specifications
  • Machine cutting process development and prototyping
  • Collect customer requirements for technical solutions
  • Project planning
  • Define SOW
  • Estimate budgets
  • Execute technology development to address quality or productivity improvements in fabrication and assembly

Skills & Experience

Required Experience:

  • Bachelors Degree in Engineering Discipline
  • 8-10 years of experience in design and manufacturing

Preferred Experience:

  • 3D Modeling
  • Statistical Process Control (SPC)
  • Data Analysis

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