Silicon Validation Engineer

Job Details:

Job Description: 

Defines, develops, and performs functional validation for CPUs, focusing on validation of the CPU internals and CPU integration in systemlevel features for Intel performance and power efficient cores. Applies various hardware and software level tools and techniques to ensure validation coverage and that performance, power, and area goals are met. Reviews proposed design changes to assess impact on validation plans, tasks, and timelines. Develops CPU validation methodologies and test plans, executes validation plans, and collaborates with other engineers for design optimization, troubleshooting, and failure analysis. Applies knowledge of CPU core architecture, processor microarchitecture, and design. Performs silicon debug to identify root causes and resolves all functional and triage failures for CPU issues. Tests interactions between various CPU features using validation infrastructure. Develops postsilicon validation infrastructure (e.g., performance monitors, behavioral checkers, state space coverage) and test environment used in validation testing. Publishes CPU validation reports summarizing all validation activities performed, reviews results, and communicates to relevant teams. Works with architecture, design, verification, board, platform, and manufacturing teams to maintain and improve debug, validation test strategy, methodologies, and processes for CPU interfaces and to meet desired product specifications. Develops content to create or increase specific IP interactions using a variety of tools and techniques (including patching techniques using microcode, firmware, or custom OS builds). Engages in all phases of the product life cycle, develops, and validates content and infrastructure, and bug hunts in multiple environments (simulation, emulation, FPGAs) to ensure silicon readiness.

Qualifications:

Minimum Qualifications: BS in Computer Engineering, Computer Science, Information Systems, Electrical Engineering, or related field with 10+ years of relative experienceExpertise in Linux Kernel debuggingExpertise in debugging PCIe specific BugsLinux system /User mode programming(Expert)Good Knowledge on domains like PCIe, Memory, PM,FW,Boot loader(expert in minimum 2 domains)Knowledge on Shell, Python, C, C++Strong Self -learning and excellent communication capabilityStrong understanding of GPU architecture and debug Skills.Experience with machine learning frameworks (PyTorch and/or Tensorflow) and their use in data science (Good to have).Knowledge in deploying and validating, AI, machine learning models (Good to have).Knowledge in intel/arm platform architecture and debug tools/frameworks(Good to have)

          

Job Type:

Experienced Hire

Shift:

Shift 1 (Israel)

Primary Location: 

Virtual Israel

Additional Locations:

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.

Position of Trust

N/A

Work Model for this Role

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.