Texas Instruments

Systems Engineering Intern (CIM)

Job Description

Posted on: 
2025-11-10

Responsibilities

  • Research and develop novel digital compute in-memory architectures optimized for edge AI workloads.
  • Explore algorithm-hardware co-design techniques for energy efficiency and computational throughput.
  • Collaborate with internal technology design teams to simulate and validate CIM-based solutions.
  • Develop and optimize machine learning models and inference engines for in-memory computing.
  • Participate in the design and implementation of software toolchains for CIM evaluation.
  • Investigate memory hierarchy optimizations and data movement reduction strategies.
  • Interface with stakeholders to negotiate specifications and develop technical definitions for new products.

Job Requirements

  • Currently pursuing a graduate degree in Electrical Engineering or related field.
  • Cumulative GPA of 3.0/4.0 or higher.
  • Solid background in computer architecture, digital design, or embedded systems.
  • Proficiency in hardware description languages (Verilog/VHDL) and programming in Python and C/C++.
  • Experience with machine learning model optimization and deployment on constrained devices.
  • Knowledge of SRAM/DRAM circuit design and memory architecture principles.
  • Excellent communication and interpersonal skills.
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