Staff Engineer, Reliability

Shield AI is a U.S. defense-technology company developing mission-autonomy software and autonomous aircraft for military and allied operations.

San Diego, United States
About Shield AI

Founded in 2015, Shield AI builds Hivemind autonomy software and V-BAT and X-BAT aircraft for operations in contested, GPS- and communications-denied environments. Its current site also presents Aechelon synthetic-reality simulation and Vision Systems detection and tracking products.

View jobs by Shield AI

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will develop and implement design-for-reliability best practices, perform stress screening and environmental testing, drive failure analysis, and participate in design reviews and FMEA. You will investigate manufacturing non-conformances and field failures, recommend corrective actions, use reliability modeling tools, and travel to suppliers as needed.

Requirements

  • Technical background in materials science, electronics manufacturing, hardware reliability, and environmental testing
  • Bachelor's degree in Materials, Mechanical, or Reliability Engineering
  • Familiarity with electronics and moving mechanical assemblies
  • Clear written and oral communication
  • Experience with interdisciplinary teams from concept to production
  • Experience managing technical projects
  • Proficiency in Python including NumPy, Pandas, SciPy, Plotly, Matplotlib
  • Familiarity with IPC, JEDEC, AIAA, AEC, MIL, and SMC standards

Responsibilities

  • Develop and implement design-for-reliability best practices
  • Perform stress screening and environmental testing and drive failure analysis
  • Analyze designs and test results to identify failure modes and mitigations
  • Collaborate with design engineers on reliability early in design
  • Review and approve designs for release
  • Participate in design reviews and FMEA
  • Investigate manufacturing non-conformances and field failures to find root cause
  • Travel as needed for supplier process deep dives
  • Develop and recommend corrective actions
  • Use reliability modeling and simulation tools
  • Propose and implement process improvements

Benefits

  • Bonus
  • Benefits
  • Equity