SoC Validation Intern — Hybrid, Hands-on Silicon

Intel Corporation; Región Centro; Híbrido; MXN 134.000 - 268.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Descripción de la vacante

Intel Corporation in Guadalajara, Mexico, seeks a motivated SoC Functional Validation Intern to support validation of HW designs for silicon products and systems. You will collaborate with experienced engineers across the product lifecycle in a fast-paced environment.

The role offers hands-on exposure to real-world silicon and software design challenges, with opportunities to learn Pre-Si and Post-Si tools in a collaborative setting. Hybrid work model applies.

Formación

• Pursuing Bachelor's or Master's in Electronic Engineering, Mechatronics, CS or CE.
• At least 3 months of experience in Python or C/C++.
• Advanced English level and legal work status in Mexico.
• Must be eligible to work without sponsorship.

Responsabilidades

• Contributes to the functional validation of HW design of silicon products and systems.
• Supports HW and SW debugging and helps create validation test plans.
• Assists in test content development, data analysis for validation metrics, and the development and implementation of validation infrastructure and test environment.
• Learns SoC architecture and Intel tools, exploring future career opportunities in a collaborative environment.
• Role requires regular onsite presence to fulfill essential job responsibilities.

Conocimientos

Python

C

C++

Advanced English

Educación

Bachelor's or Master's in Electronic Engineering, Mechatronics, Computer Science, or Computer Engineering

Herramientas

Linux

Descripción del empleo

Intel Corporation in Guadalajara, Mexico, seeks a motivated SoC Functional Validation Intern to support validation of HW designs for silicon products and systems. You will collaborate with experienced engineers across the product lifecycle in a fast-paced environment.

The role offers hands-on exposure to real-world silicon and software design challenges, with opportunities to learn Pre-Si and Post-Si tools in a collaborative setting. Hybrid work model applies.