Staff Engineer, Reliability (R6517)
Shield AI is hiring a Staff Engineer, Reliability (R6517) in Dallas, United States. It pays $156k-$234k a year and Level rates it ; you can apply on Shield AI.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classes it as a lead role.
- Shield AI has 662 other open roles on Level.
- Posted in the last few days.
AI in this role
Job Description:
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. You will lead environmental and stress testing efforts, including temperature cycling, vibration, HALT, and HASS, conduct failure analysis and materials characterization, and analyze root cause investigations for manufacturing non-conformances and field returns. You’ll participate in design reviews and FMEA activities, shape material selection and manufacturing requirements, analyze test and field data using reliability modeling tools, and help develop corrective actions and process improvements that elevate hardware reliability across the program.
What you'll do:
- 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 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.
- 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.
- Familiarity with relevant industry standards, including IPC, JEDEC, AIAA, AEC, MIL, and SMC standards.
Preferred qualifications:
- Master's degree in Materials Engineering preferred. Degrees in Mechanical OR Reliability Engineering also are acceptable.
- 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
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.
How we rate this
Staff Engineer, Reliability (R6517) at Shield AI rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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