June 2027 Co-op - Reliability Engineering #5953 at Shield AI
Seattle, WashingtonX-BAT DivisionInternPosted 5 days ago$38–$73 per hour
About the role
As published on Shield AI's job board.
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description: Our Co-Op program is an excellent opportunity for students to gain deep, hands-on experience in a mission-driven and innovative engineering environment. This paid, full-time program spans multiple months during the academic year, offering extended immersion in real-world hardware development and testing. Shield AI is seeking an exceptional Co-op candidate to join the team in building our autonomous aircraft. You will join a team of highly talented cross-functional engineers that exhibit a culture of mentorship, kindness, ownership, and hard work. The ideal start date is June 2027, and the end date is flexible.
What you'll do: • 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 return
- 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
- Travel occasionally to support testing or supplier engagements as needed
Required qualifications: • Have completed at least the 2nd year of a relevant degree. Typically, Mechanical, Materials, or Reliability engineering.
- Strong technical fundamentals.
- Have been part of an engineering team/club.
- Experience with design software and tools such as Altium, ANSYS Mechanical, SolidWorks, etc
- Hands-on experience with materials characterization equipment including SEM, microscopes, CT, FTIR, DSC, and others.
- Demonstrated history of showing ownership of project outcomes and delivering exceptional results.
- Record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
#intern
Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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About Shield AI
Defense technology company building AI pilot software and autonomous aircraft.
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