Relativity Space-posted 11 months ago
Long Beach, CA
501-1,000 employees
Transportation Equipment Manufacturing

The Relativity Space NDE Engineering Team is dedicated to the integrity of our product while tackling the challenges of our traditional and non-traditional manufacturing methods. We are tasked with developing and executing inspection of a huge variety of materials and components using cutting-edge industry technology and vetting, developing, and deploying automation, machine learning and Statistical Process Control solutions to achieve continuous improvement in efficiency and execution. From designing novel in-house systems and processes that adhere to industry standards, to executing challenging technical inspection operations, our team maintains a steadfast commitment to integrity, efficiency, accuracy, and reliability.

  • Coordinate with process stakeholders, identify applicable external resources, and develop infrastructure to unify manufacturing, quality, and NDE data into a central minable database
  • Reduce human factors as feasible through automation in data collection (e.g. scanning, instrument setup, etc.), data routing, and decision making
  • Demonstrate correlation and automated prediction capability between manufacturing defects and process inputs. Demonstrate ability to prevent defects from forming. Certify proof-of-concept with customers
  • Work closely with NDE Level 3s and NDE Engineers to develop and execute feasibility studies, POD's, and qualification plans incorporating the above
  • Interface with outside stakeholders to ensure that qualification data and documentation is in compliance with applicable external customer's specifications and/or facilitate and document acceptable alternative methodologies (audit proof)
  • Engage in proactive mentorship and provide training and oversight for less experienced Engineers
  • BS or MS in an engineering related field
  • 3+ years of relevant experience involving NDE methods and acceptance criteria
  • Track record of delivering technically concise reports to external and/or internal engineering stakeholders utilizing multiple data sources
  • Demonstrated ability to apply engineering fundamentals to achieve a practical manufacturing/production outcome, or similar relevant scope
  • Technical knowledge in at least 1 of the following NDE Methods: Digital RT, CR, ECA, PAUT
  • Understanding of welding flaw acceptance criteria
  • M.S. and/or PHD in Engineering with a focus on one or more NDE methods
  • Experience performing statistical analyses including linear and multi-linear regression, Gaussian and Bayesian probabilities using R or Python
  • Verifiable experience contributing to design and/or qualification of automated NDE systems
  • Working knowledge of Lean Manufacturing principles and familiarity with MES systems
  • Exposure to aerospace industry codes and standards
  • Experience with one or more CAD modeling software platforms
  • Previous or current Level 2 or 3 certification in any of the following NDE Methods: Digital RT, CR, ECA, PAUT
  • Current ASNT Level 3 in one or more methods
  • Experience with inspection of additively manufactured materials, FSW's, and OTW's
  • Experience Auditing 3rd Party NDE service providers and equipment vendors
  • Competency in advanced NDE data analysis in one or more methods (PAUT, ECA, CT, DR, FMC/TFM)
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