Main Logic Board Product Engineer
Apple
Full-time
On-site
Hanoi, Vietnam
Machine Learning
Description
A successful MLB Product Engineer is an EE, technical, driven, organized, detail oriented, adept at driving actions and resolving conflicts; and communicates with ease at all levels. Lead responsibilities will include:
- Participate and enable new product introductions with the highest technical quality Drive key initiatives which improve future designs, including board validation, stress testing, and user impact correlations.
- MLB Debug & failure analysis with System and Product Design, Component Engineering, Test, Reliability and Supplier Quality
- Manage all program-related communication to executive management including: Highlight key program risk to management and clearly explain path to resolution
- Commit to work under high time/deliverable pressure with solid results
- Lead quality improvement teams to improve field performance
- Participate in Field Failure Analysis efforts and DPPM reduction
- Systemic yield improvements and reporting
- 8D based improvements based on lessons learned from NPI/sustaining issues
- Able to interpret, analyze and summarize data well to drive decisions
Minimum Qualifications
- 7+ years experience in electrical design (ideally both digital and analog such as system design, component I/O, Power delivery, Power electronics, etc), track record of electrical design improvements, electrical test, debug & integration of electronics into systems; consumer electronics experience is preferred.
- BS/MS/PhD Electrical Engineering
Preferred Qualifications
- Familiar with design and schematic tools.
- Familiarity with board and system electronic test strategies: In-Circuit Testing, board functional tests, and industry standard test methodologies⁃ Demonstrated excellence in organization, execution and program management in complex cross functional projects.
- Excellent skills in failure analysis of systems, circuits, and their components
- Drive technical root cause analysis and corrective actions to improve system quality.
- Excellent written and verbal communication skills.
- Precise technical communication including deep level of engineering analysis and details.
- Demonstrated initiative with a high level of energy, and methodical & efficient problem solving skills including engineering DOEs.
- Familiarity in system manufacturing, SMT, and transitioning new products into manufacturing.
- Experience using a variety of data mining/data analysis methods, using a variety of data tools to derive meaningful results and drive key decisions to solve problems.