Summary
In this position, the candidate will be working for the Hardware Validation Engineering (HVE) team on post-Silicon hardware system validation of next generation Mac and iPad systems. Our Engineering Team is responsible for architecting new ways to test new system hardware to catch issues early in the hardware life cycle. You will be a key technical contributor and will use your in-depth system knowledge to target testing on new silicons or system architecture. Come join our team!

Key Qualifications
8+ years of experience as a post-Silicon Validation engineer.

Previous experience in pre-silicon or post-silicon validation

Strong System Architecture background with an in-depth experience defining validation methodologies for new hardware systems

Experience working on validation of different system level features like power, performance, thermals etc.

Proven track record with the ability to analyze data at scale and make meaningful insights and recommendations for any DOEs needed for debugging of issues/enablement of features with Cross-functional partners including Software/Firmware, System Hardware and Silicon teams

Programming experience in Python, C, Shell scripting

Understanding of object oriented programming, data structures, algorithms

Outstanding communication and collaboration skills

PREFERRED SKILLS:

Test automation experience and large scale testing

Protocol analyzers, oscilloscope

Data analysis tools like Tableau, JMP and Splunk

Description
Reviewing Mac platform architecture and identifying key areas for HW validation Writing Test plan and execution strategy for Mac Platforms. Developing and optimizing the framework, tools and tests to build a controlled validation environment for small and large scale validation. Analyze large scale data with help of data analysis tools and drive data driven debug of issues cross-functionally with software, hardware and silicon design teams. Debugging failures from internal and cross-functional teams, across SW/FW/HW to arrive at root cause Analyzing large data sets to find trends and anomalies in system behavior. Summarize and represent validation progress and issues of concern in executive review meetings

Education & Experience
Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or Computer Science

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