Internship - Communication System Modelling

Posted Yesterday
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Saint-Sulpice, QC, CAN
In-Office
Internship
Artificial Intelligence • Hardware • Semiconductor
The Role
Conduct research on simultaneous bidirectional communication over wideband copper serial links. Develop behavioral models of copper channels and transceiver architectures, investigate analog and digital self-interference cancellation, evaluate channel impairments and non-idealities, and simulate communication building blocks using Python or circuit-level CAD tools. Assess data rates, energy efficiency, and implementation complexity, then present findings in a technical report and oral presentation.
Summary Generated by Built In

Kandou is redefining AI infrastructure through innovative interconnect technologies that significantly reduce power consumption while maintaining high bandwidth and ultra-low latency. Our mission is to make AI systems more scalable, efficient, and accessible.

 

Today we have one internship position available for max 6 months, in our Advanced R&D, for MSc students in the following area :

 

Communication System Modelling Intern

 

Internship Background

Modern computing systems increasingly rely on high-speed serial interfaces to transfer large volumes of data between processors, memory devices, and accelerator chips. Simultaneous bidirectional (SBD) signalling enables both ends of a copper channel to transmit and receive data concurrently over the same physical medium, offering a promising path toward higher bandwidth efficiency without increasing the number of interconnects.

 

Project Objectives

The objective of this internship is to investigate circuit and signal-processing techniques that enable simultaneous bidirectional communication over wideband copper serial links. The student will explore methods for separating the locally transmitted signal from the incoming signal while maintaining high data rates and robust link performance.

Specific goals may include:

  • Reviewing the state of the art in simultaneous bidirectional and full-duplex wireline communication systems;

  • Developing behavioural models of wideband copper channels and transceiver architectures;

  • Studying self-interference cancellation techniques in the analog and/or digital domains;

  • Evaluating the impact of channel impairments, mismatch, and non-idealities on link performance;

  • Designing and simulating key building blocks using Python or circuit-level CAD tools;

  • Assessing achievable data rates, energy efficiency, and implementation complexity.

 

Expected Outcomes

At the end of the internship, the student is expected to:

  • Gain hands-on experience in the design and analysis of high-speed wireline communication systems;

  • Develop simulation models for simultaneous bidirectional serial links;

  • Quantify the benefits and challenges associated with full-duplex operation over copper channels;

  • Present the obtained results in a technical report and oral presentation.

 

Depending on the progress and interests of the student, the work may lead to conference or journal publication opportunities.

 

Desired Background

The project is suitable for motivated Master's students in Electrical Engineering, Communications Engineering, or Computer Engineering.

 

Preferred qualifications:

  • Understanding of the building blocks of a digital communication link and factors impacting the link performance (Familiarity with SerDes link components and clock recovery circuits is a plus);

  • Strong background in signal processing, communications;

  • Proficient in at least one of the following programming languages C++, MALTAB, or Python/NumPy;

  • Strong communication and presentation skills.

 

If you recognize yourself in the description above, and love to be part of a growing Company, are a good team player with an upbeat approach to life, we would love to hear from you. Together We Kandou It!

Skills Required

  • Currently pursuing a Master's degree in Electrical Engineering, Communications Engineering, or Computer Engineering
  • Understanding of digital communication link building blocks and factors affecting link performance
  • Strong background in signal processing and communications
  • Proficiency in at least one of C++, MATLAB, or Python with NumPy
  • Strong communication and presentation skills
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The Company
222 Employees

What We Do

Kandou AI is a fabless semiconductor company developing high-speed connectivity for AI infrastructure. Its patented Copper MIMO, also known as Chord Signaling, sends correlated signals at data-processing speeds of 448 Gbps and beyond, providing an alternative to optical interconnects. The company’s technology targets AI data-movement bottlenecks and memory-wall constraints, while its platforms emphasize improved efficiency, lower power and cost, and scalability.

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