System Modeling and Specification Definition Student

Intel Intel · Semiconductors · Petah-Tikva, Israel +1

Student role focused on system-level modeling and specification definition for analog and mixed-signal blocks in Wi-Fi and Bluetooth SoCs. The role involves using AI-assisted tools to accelerate analysis and modeling, conducting research, and defining block-level specifications. It requires an MSc student with strong fundamentals in analog/mixed-signal circuits and experience with modeling environments like MATLAB or Python.

What you'd actually do

  1. Develop and maintain system‑level models for analog and mixed‑signal blocks, including Power Delivery and High‑Speed SerDes.
  2. Perform analytical and behavioral simulations (e.g., MATLAB, Python) to explore architectural tradeoffs and guide design decisions.
  3. Conduct technical research and literature review, using AI‑assisted tools to accelerate analysis and insight generation.
  4. Work with system architects, analog designers, and cross‑functional teams to define clear, implementable block‑level specifications.
  5. Analyze measurement data and platform behaviors to validate and refine models.

Skills

Required

  • MSc student in Electrical Engineering, Computer Engineering, or a related field (at least 3 semesters remaining).
  • Strong fundamentals in analog/mixed‑signal circuits and system behavior.
  • Experience with MATLAB, Python, C/C++, or similar modeling environments.
  • Strong analytical thinking, curiosity, and research skills.
  • Ability to collaborate and communicate effectively in a multidisciplinary team.
  • Interest in leveraging AI‑assisted analysis, modeling, and automation tools.

Nice to have

  • Coursework or background in Power Delivery, SerDes, or high‑speed circuits.
  • Experience with behavioral or system‑level modeling.
  • Familiarity with wireless systems (Wi‑Fi, Bluetooth).
  • Scripting and automation experience.
  • Understanding of architectural tradeoffs such as noise, jitter, power integrity, and channel effects.

What the JD emphasized

  • AI‑assisted tools
  • AI‑assisted workflows
  • AI‑based and automated workflows
  • AI‑assisted analysis, modeling, and automation tools