Hardware Reliability Engineer, Shield AI

• Bachelor’s degree in Materials Engineering, Mechanical Engineering, Reliability Engineering, or a related field
• 1–3 years of experience (internships or co-ops acceptable) in hardware, materials, or reliability engineering
• Foundational understanding of materials science, electronics (PCBs/PCBAs), and/or mechanical systems
• Familiarity with basic reliability concepts and environmental testing methods
• Strong problem-solving skills and attention to detail
• Ability to work in a team-oriented, cross-functional environment
• Clear written and verbal communication skills

Desirable

• As a Hardware Reliability Engineer (Engineer II) at Shield AI, you will support efforts to ensure the robustness and long-term performance of our VBAT flight hardware
• You’ll work closely with design, manufacturing, and supplier teams to help implement design-for-reliability best practices and assist with reliability verification activities from concept through production
• In this role, you will contribute to environmental and stress testing efforts, support failure analysis investigations, and help analyze test and field data to identify potential reliability risks
• You’ll participate in design reviews and FMEA activities, assist in root cause investigations for manufacturing and field issues, and support initiatives to improve hardware reliability across the program
• Support environmental and stress testing efforts (e.g., temperature cycling, vibration, HALT/HASS) to validate hardware reliability
• Assist in failure analysis and root cause investigations for manufacturing non-conformances and field returns
• Analyze test results and field data to help identify potential failure modes and reliability risks
• Collaborate with design engineers to incorporate design-for-reliability best practices
• Participate in design reviews and FMEA activities to evaluate potential issues
• Support development of corrective actions and process improvements to enhance hardware reliability
• Assist in reviewing materials, manufacturing processes, and component selection for reliability considerations
• Utilize data analysis tools (e.g., Python) to support reliability assessments and reporting
• Work cross-functionally with engineering, manufacturing, and supplier teams