4 months ago

Staff Hardware Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Staff Hardware Reliability Engineer at Shield AI will drive design-for-reliability across VBAT flight hardware, lead environmental and stress testing, perform failure analysis, and collaborate with design, manufacturing, and suppliers to improve reliability from concept to production. You will review designs, conduct FMEA, model reliability, and implement corrective actions while traveling as needed to supplier facilities.

Location: Dallas

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Develop and implement design-for-reliability best practices, conduct rigorous testing, shape manufacturing requirements, select materials, and analyze field data to enhance VBAT hardware reliability.
•Perform stress screening and environmental testing 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 early in the design process.
•Act as a key stakeholder in reviewing and approving designs for release; participate in design reviews and FMEA activities.
•Investigate manufacturing non-conformances and field hardware failures to determine root cause; travel as needed to supplier sites.

Travel: Low travel

Pay and Benefits

Salary: USD 158,542 - 237,812 annually

Key Requirements

•Technical background in materials science, electronics manufacturing processes (PCB fabrication and assembly), hardware reliability concepts, and environmental test practices.
•Proficiency in Python, including NumPy, Pandas, SciPy, Plotly, and Matplotlib.
•Familiarity with IPC, JEDEC, AIAA, AEC, MIL, and SMC standards.
•Bachelor's degree in Materials Engineering preferred. Degrees in Mechanical OR Reliability Engineering also acceptable.
•Travel as needed to perform deep dives into supplier processes.

Experience:AerospaceHardwareAutomotive

Education:Bachelor's

Skills:Problem-solvingCommunicationTeamworkAttention to detail

Tech Stack:PythonNumPyPandasSciPyPlotlyMatplotlibIPCJEDECAECMILSMC

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

4 months ago

Staff Hardware Reliability Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Dallas

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Develop and implement design-for-reliability best practices, conduct rigorous testing, shape manufacturing requirements, select materials, and analyze field data to enhance VBAT hardware reliability.
•Perform stress screening and environmental testing 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 early in the design process.
•Act as a key stakeholder in reviewing and approving designs for release; participate in design reviews and FMEA activities.
•Investigate manufacturing non-conformances and field hardware failures to determine root cause; travel as needed to supplier sites.

Travel: Low travel

Pay and Benefits

Salary: USD 158,542 - 237,812 annually

Key Requirements

•Technical background in materials science, electronics manufacturing processes (PCB fabrication and assembly), hardware reliability concepts, and environmental test practices.
•Proficiency in Python, including NumPy, Pandas, SciPy, Plotly, and Matplotlib.
•Familiarity with IPC, JEDEC, AIAA, AEC, MIL, and SMC standards.
•Bachelor's degree in Materials Engineering preferred. Degrees in Mechanical OR Reliability Engineering also acceptable.
•Travel as needed to perform deep dives into supplier processes.

Experience:AerospaceHardwareAutomotive

Education:Bachelor's

Skills:Problem-solvingCommunicationTeamworkAttention to detail

Tech Stack:PythonNumPyPandasSciPyPlotlyMatplotlibIPCJEDECAECMILSMC

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn