Platform Performance Validation Engineer

Bengaluru, Karnataka, India Job ID JR0270305 Job Category Platform Hardware and Systems Engineering Work Mode Hybrid Experience Level Experienced Full/Part Time Full Time

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Job Description

Defines, develops, and performs platform performance validation across Intel products. Drives platform level usage optimization under specific scenarios, develops key performance indicators, landing zones, and performance benchmarks, and drives execution, reporting, and documentation of results. Develops performance validation methodologies, executes validation plans, and collaborates with other engineers for design optimization, troubleshooting, and failure analysis. Performs platform level debug to identify root causes and resolve all functional and triage failures for performance issues. Develops postsilicon validation infrastructure (e.g., performance monitors, behavioral checkers, state space coverage) and test environment used in validation testing. Configures and sets up data logger for performance data collection and analysis. Publishes performance validation reports summarizing all validation activities performed, reviews results, and communicates to relevant teams. Collaborates with internal customerfocused teams and/or directly with customers to replicate and debug performance issues and provide impact assessment of functional bugs on performance. Works with IP, SoC, and software engineering teams to enable continuous improvement in platform engineering methodologies.

Qualifications

Candidate must possess a Masters or Bachelor's degree in Electrical Engineering Computer Engineering or a related discipline with min 7+ Years of Experience on platform performance and power optimization is a plus-Good problem solver with strong hands on skills for programming using Python/Unix Shell scripting/C and able to do source code level tuning and debug firmware/platform issues and build scripts for automating workload generation and measurement tasks-Good understanding of Intel Architecture Operating System Drivers, BIOS flows, compute/memory/storage performance design fundamentals- Familiarity with popular server workloads measurement methodologies including SPECCPU, Linpack, FIO, MLC, SpecPower is highly desired.

Experience must also be inclusive of

1. Platform validation and or debug experience Intel Architecture and Server Platform experience.

2.Familiarity with debugging tools such as Intel ITP based environments, protocol analyzers, logic analyzers, power meters and DAQs.

3. Must be willing to engage with external customers when needed.

4. Experience with Python or Unix Shell script development

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

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Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

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