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Shield AI

Robot type
Drone · Defense
Location
SeattleWashingtonUSA
Job type
Hardware
Posted
Mar 6, 2026
Salary
$140,000–$210,000 a year
Full-time

Staff Hardware Reliability Engineer (R5142)

Job description

Shield AI — Staff Hardware Reliability Engineer (R5142) (Seattle, Washington).

Job responsibilities

  • You will be responsible for developing and implementing design-for-reliability best practices, conducting rigorous testing, shaping manufacturing requirements, selecting materials, and analyzing field data to enhance…
  • Perform stress screening, environmental testing, and drive failure analysis to ensure flight hardware meets reliability and performance targets.
  • Analyze designs and test results to identify potential failure modes and mitigations.
  • Collaborate with design engineers to implement design for reliability best practices early in design.
  • Act as a key stakeholder in reviewing and approving designs for release.
  • Participate in design reviews and failure mode effects analysis (FMEA) to assess potential reliability issues.
  • Investigate manufacturing non-conformances and field hardware failures to determine root cause.
  • Travel as needed to perform deep dives into supplier processes.

Job requirements

  • Technical background in materials science, electronics manufacturing processes (PCB fabrication and assembly), hardware reliability concepts, and environmental test practices.
  • Candidate must be self-starting and come with a growth mindset, with excellent problem-solving skills and attention to detail.
  • Bachelor's degree in Materials Engineering preferred. Degrees in Mechanical OR Reliability Engineering also are acceptable.
  • Familiarity with electronics (PCBs, PCBAs, electronic components) and moving mechanical assemblies.
  • Team-player with clear and concise written and oral communication skills.
  • Experience working with interdisciplinary teams to execute product design from concept to production.
  • Experience with the project management of technical projects.
  • Proficiency in Python, including NumPy, Pandas, SciPy, Plotly, and Matplotlib.

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