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Requirements:
Currently enrolled in a Bachelor's or masters program in Business Administration, Economics, Finance, or a related field (about to finish 2nd year during 2025)
Strong analytical and problem-solving skills.
Experienced in Power Point, Excel, analysis tools (Power BI, QlikView, etc.).
Basic knowledge of data analysis tools and techniques.
Excellent communication and interpersonal skills, including presentation skills.
Ability to work independently and prioritize tasks.
Strong organizational skills, attention to detail, auto-didactical capabilities and proactivity.
Fluent in English

Requirements:
Basic qualifications
Strong academic and technical background in electrical or computer engineering
1-3 years experience validating and/or developing complex SoC/silicon products for Networking and/or Server & Storage applications
Professional attitude with the ability to prioritize a dynamic list of multiple tasks, to plan and work with minimal guidance and supervision.
Entrepreneurial, open-mind behavior and can-do attitude. Think and act with the customer in mind!
Required experience.
Hands-on, thorough knowledge of high-speed protocols like Ethernet CXL, PCIe, NVMe,.
Silicon/System bring-up, validation, and debug experience, including customers systems.
A Python coding experience
Familiarity with validation techniques C, C++
Experience with lab equipment as protocol analyzers, chambers, in-circuit debuggers, and CPU-based tool suites.
Familiarity with lab testing automation techniques
Preferred experience
Familiarity with devices trees and related debugging techniques.
Familiarity with board system design
C\C++ for embedded FW and device drivers
Basic understanding of x86/ARM architecture, UEFI/Linux boot sequence
Familiarity with CXL compliance standards and ability to follow and be involved in compliance consortiums to adapt the tests to be run from X86/ARM based platforms.
Experience working with DRAM memory vendors on DDR4 or DDR5 to identify issues and working on SoC HW/FW to improve memory calibration and tuning sequences.
Knowledge of memory subsystem compliance from a data integrity and RAS is a plus.
Knowledge of schematic capture and PCB layout tools from Cadence, Altium, etc.

Requirements:
Basic Qualifications
Bachelors degree in computer science, Data Science, Engineering, Mathematics, or a related field.
Advanced degrees in data science or Machine learning / AI - Advance.
Proficiency in programming languages such as Python, R, or MATLAB.
Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi.
Experience with data visualization tools such as Tableau, Matplotlib, Graphana.
Strong analytical and critical-thinking skills to identify patterns and outliers.
Customer-obsession, Think and act with the customer in mind!
Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe.
Entrepreneurial, open-minded behavior and can-do attitude.
Required Experience
Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL).
Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn).
Proven ability to manage multiple tasks and meet deadlines.
Preferred Experience
Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages.
Masters degree in a relevant field.
Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing.
Familiarity with big data technologies (e.g., Hadoop, Spark).
Knowledge of engineering design tools and processes.