FE Engineer

Apple Inc.; Austin, Northern (TX, KY); On-site; USD 120,000 - 180,000; Full time

Job summary

Apple Inc. in Austin, Texas is seeking a qualified engineer to develop and maintain an internal GPU power/efficiency tool. You will collaborate with Technology, Power, and Silicon teams to align frequency- voltage curves with workloads and verify projections against silicon data.

The role emphasizes Python development, data analysis, and power modeling using a Python-based tool to drive design decisions. 40 hours/week on site.

Qualifications

• Master's degree required with focus on electrical engineering or related field.
• Experience with computer architecture to scale GPU/Memory performance.
• Proficiency in Power Analysis and frequency sweeps using PTPX.
• Strong Python programming and Git version control skills.
• Knowledge of statistics and mathematical projections for data.

Responsibilities

• Develop and maintain an internal tool that generates GPU efficiency data.
• Analyze performance data and verify it meets expectations for debugging.
• Collaborate with Architecture, Power, and Silicon teams on projections.
• Update models and equations to reflect new silicon technology parameters.
• Expose insights by comparing projections to actual silicon data.

Skills

Computer architecture

Power analysis

Statistics

Circuit analysis

VLSI design

GIT

Education

Master's degree in Electrical Engineering or related field

Tools

Python

Git

Job description

Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.

Description

APPLE INC has the following available in Austin, Texas. Developing and maintaining an internally developed tool that generates GPU efficiency data. Working with Technology, Power and Static timing teams to determine the Frequency-Voltage curves for the workloads. Working with the Silicon team to improve projections based on Silicon data. Analyzing performance data delivered by the GPU performance team and checking whether the data meets expectations and report any abnormalities for debugging. Analyzing the capacitance and leakage data supplied by the GPU power team to make sure the values are as expected for a project. Working with architects and implementation teams to run experiments that help drive design decisions for the Apple GPU. Making feature additions to support required new features in the tool including updating the equations and silicon technology parameters used by the model to generate more accurate data. Analyzing projections made against actual silicon data to analyze accuracy and possible improvements in modeling. 40 hours/week.

Minimum Qualifications

• Master's Degree or foreign equivalent in Electrical Engineering, Electronics Engineering or related field.
• Experience and/or education must include:
• Utilizing computer architecture to scale performance for various GPU/Memory configurations and debug performance limiters at the top level
• Experience in Power Analysis and frequency sweeps using PTPX to perform PPA Analysis
• Utilizing Python programming and GIT skills in developing, enhancing and maintaining the tool.
• Using Statistics and Mathematical functions to make projections, analyze, and distill information from large sets of data.
• Using VLSI Design and Circuits education to analyze and implement power modeling with a Python based tool used for Power projections
• Using electrical Circuits Analysis to work on frequency-voltage curves for performance and power trade off projection

Preferred Qualifications

• N/A

This position is not subject to the application limits.

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