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Data Center Pre-Si Validation Intern

Guadalajara, Estado de Jalisco, Mexico ID Pekerjaan JR0273417 Kategori Kerja Intern/Student Mod Kerja Hybrid Tahap Pengalaman Intern Jenis Waktu Bekerja Sepenuh Masa
Mohon

Job Description

Are you a student with a passion for the semiconductor industry and a knack for validation? Do you want to gain hands-on experience in pre-silicon validation and contribute to the development of cutting-edge data center technologies? We've got you covered!

As a Data Center Pre-Silicon Validation Intern, you will play a critical role in ensuring the quality and reliability of cutting-edge data center SoC designs. Your expertise will help validate system functionality, identifying and resolving issues before they reach the market. Join the team that's shaping the future of semiconductors and gain hands-on experience in pre-silicon validation!

Main Responsibilities:

  • Pre-Silicon Validation: Participate in the development and verification of cutting-edge Intel products, ensuring bug-free processor platforms.
  • Test Planning and Execution: Plan, develop, execute, and debug Pre-Silicon system-level test plans on FPGA/Emulation platforms.
  • Validation Enablement: Play a central role in enabling various validation activities, driving the development of high-quality products before they reach customers.

Qualifications

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Experience listed would be obtained through a combination of your schoolwork/classes/research and/or relevant previous job and/or other internship experiences.

Minimum qualifications:

  • Enrolled in a college program and currently studying to get a Bachelor’s or Master’s degree in Computer Science or related engineering degree (at least 50 percent of courses approved).
  • 3+ months of combined experience in the following:
    • Digital Design such as: Combinational, Synchronous (state machines) or Asynchronous.
    • Hardware Description Languages such as Verilog or VHDL or System Verilog.
    • One or more programming languages such as C, C++, Python, Perl, or Java.
    • Knowledge of Linux architecture and kernel programming concepts.
    • Familiar with computer architecture and micro-controller architecture
  • Intermediate to advanced English level.
  • Willing to work 40h per week.

Preferred:

  • Computer architectures and interfaces such as USB, UART, SPI, I2C, PCIe, CXL, RAS, Accelerators, etc.

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.

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.
Mohon
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Maggie Offensive Security Researcher

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