# Staff Engineer, Reliability (R6517)

**Company**: Shield AI
**Location**: Dallas, Texas
**Work arrangement**: onsite
**Experience**: staff
**Job type**: full-time
**Salary**: USD 156,000-234,000 per-year-salary
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/72b7a38e-e07b-4b62-b1f9-190e695aa253?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/staff-engineer-reliability-r6517-fa8cb046-c5f/

## Description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems.

As a Hardware Reliability Engineer at Shield AI, you will be responsible for ensuring the robustness and long-term performance of our VBAT flight hardware. You’ll work closely with design, manufacturing, and supplier chain to implement design-for-reliability best practices and perform reliability verification from concept through production.

Responsibilities:

- Develop and implement design-for-reliability best practices, conduct rigorous testing, shape manufacturing requirements, select materials, and analyze field data to enhance the robustness of VBAT hardware.

- 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.

- Develop and recommend corrective actions to address identified reliability issues.

- Utilize reliability modeling and simulation tools to predict system performance and lifespan.

- Stay current with industry trends, advancements, and best practices in hardware reliability engineering.

- Propose and implement process improvements to drive improvements in reliability across the program.

Required qualifications:

- Technical background in materials science, electronics manufacturing processes (PCB fabrication and assembly), hardware reliability concepts, and environmental test practices.

- Self-starting with a growth mindset, excellent problem-solving skills, and attention to detail.

- Bachelor's degree in Materials Engineering, Mechanical Engineering, or Reliability Engineering.

- 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 project management of technical projects.

- Proficiency in Python, including NumPy, Pandas, SciPy, Plotly, and Matplotlib.

- Familiarity with relevant industry standards, including IPC, JEDEC, AIAA, AEC, MIL, and SMC standards.

Preferred qualifications:

- Master's degree in Materials Engineering, Mechanical Engineering, or Reliability Engineering.

- 3+ years of experience in hardware reliability engineering, preferably with a focus on aerospace or automotive applications.

- Proficiency in failure analysis techniques and materials characterization methods.

- Experience with environmental testing, including temperature cycling, vibration, highly accelerated limit testing (HALT), and highly-accelerated stress screening (HASS).

- Familiarity with PCB fabrication, SMT, and polymerics application manufacturing processes.

- Significant knowledge of reliability engineering principles, methods, and tools.

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## Skills

### Required
- materials science
- electronics manufacturing
- hardware reliability
- environmental testing
- Python
- NumPy
- Pandas
- SciPy
- Plotly
- Matplotlib
- IPC
- JEDEC
- AIAA
- AEC
- MIL
- SMC standards

### Nice to have
- Master's degree in Materials Engineering
- hardware reliability engineering
- failure analysis techniques
- materials characterization methods
- PCB fabrication
- SMT
- polymerics application manufacturing

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