- 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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