u/Objective_Donkey_262

Seeking Advice on MASc Thesis Topics in Computer Vision for AMD / Google / ADAS Career Path

Hi,

I understand all of Machine Learning falls into Computer Vision, but not all of Computer Vision falls under Machine Learning. Machine Learning is a core concept that falls into Computer Vision, and this is why I'm making the post here. I can very clearly see the many intelligent and passionate individuals on this sub, and aspire to be one. This is why I'm making this post, in hopes to narrow down and set foot on a path for me.

I’ve recently been accepted into a MASc in Electrical and Computer Engineering under a professor whose research focuses on automotive sensor systems, intelligent transportation, computer vision, and driver assistance technologies.

My long-term goal is to work at companies like AMD, Google, or similar high-performance computing / autonomous systems companies, ideally in roles related to:

  • Computer Vision
  • Embedded AI
  • Firmware / Systems Engineering
  • ADAS / Autonomous Driving
  • GPU acceleration / AI deployment

Currently, I have some experience with:

  • Training custom object detection datasets (YOLO/OpenCV)
  • Real-time object detection
  • Thermal + depth sensing applications
  • ROS + Linux
  • Monocular SLAM concepts (ORB-SLAM3)
  • Embedded systems / real-time sensing projects

I’m trying to choose a thesis direction that would:

  1. Align well with my supervisor’s automotive/computer vision research
  2. Build industry-relevant skills
  3. Improve my chances for internships or future roles at AMD, Google, or similar companies
  4. Potentially connect with industry-sponsored projects in Ontario or Canada

I’m very open-minded and willing to learn new technologies (C++, GPU acceleration, ROS2, embedded systems, etc.). I'm curious to better learn and understand real-world problems such as SLAM with monocular pipelines.

  • What thesis topics would best position me for AMD / Google-level roles?
  • Should I focus more on:
    • ADAS / perception
    • Visual SLAM
    • Edge AI / deployment
    • GPU optimization
    • Embedded vision systems
  • Are there any unique companies in Ontario/Canada that sponsor MASc students or work with industry research projects in these areas?
  • What technical skills would be most sought out?

Any advice from industry professionals, grad students, or researchers would be greatly appreciated. Thank you.

reddit.com

Seeking Advice on MASc Thesis Topics in Computer Vision for AMD / Google / ADAS Career Path [D]

Hi,

I understand all of Machine Learning falls into Computer Vision, but not all of Computer Vision falls under Machine Learning. Machine Learning is a core concept that falls into Computer Vision, and this is why I'm making the post here. I can very clearly see the many intelligent and passionate individuals on this sub, and aspire to be one. This is why I'm making this post, in hopes to narrow down and set foot on a path for me.

I’ve recently been accepted into a MASc in Electrical and Computer Engineering under a professor whose research focuses on automotive sensor systems, intelligent transportation, computer vision, and driver assistance technologies.

My long-term goal is to work at companies like AMD, Google, or similar high-performance computing / autonomous systems companies, ideally in roles related to:

  • Computer Vision
  • Embedded AI
  • Firmware / Systems Engineering
  • ADAS / Autonomous Driving
  • GPU acceleration / AI deployment

Currently, I have some experience with:

  • Training custom object detection datasets (YOLO/OpenCV)
  • Real-time object detection
  • Thermal + depth sensing applications
  • ROS + Linux
  • Monocular SLAM concepts (ORB-SLAM3)
  • Embedded systems / real-time sensing projects

I’m trying to choose a thesis direction that would:

  1. Align well with my supervisor’s automotive/computer vision research
  2. Build industry-relevant skills
  3. Improve my chances for internships or future roles at AMD, Google, or similar companies
  4. Potentially connect with industry-sponsored projects in Ontario or Canada

I’m very open-minded and willing to learn new technologies (C++, GPU acceleration, ROS2, embedded systems, etc.). I'm curious to better learn and understand real-world problems such as SLAM with monocular pipelines.

  • What thesis topics would best position me for AMD / Google-level roles?
  • Should I focus more on:
    • ADAS / perception
    • Visual SLAM
    • Edge AI / deployment
    • GPU optimization
    • Embedded vision systems
  • Are there any unique companies in Ontario/Canada that sponsor MASc students or work with industry research projects in these areas?
  • What technical skills would be most sought out?

Any advice from industry professionals, grad students, or researchers would be greatly appreciated. Thank you.

reddit.com
▲ 6 r/ECE+1 crossposts

Seeking Advice for MASc Thesis Topic in Computer Vision (Goal: AMD / Google / ADAS / Industry Internship)

Hi,

I’ve recently been accepted into a MASc in Electrical and Computer Engineering under a professor whose research focuses on automotive sensor systems, intelligent transportation, computer vision, and driver assistance technologies.

My long-term goal is to work at companies like AMD, Google, or similar high-performance computing / autonomous systems companies, ideally in roles related to:

  • Computer Vision
  • Embedded AI
  • Firmware / Systems Engineering
  • ADAS / Autonomous Driving
  • GPU acceleration / AI deployment

Currently, I have beginner experience with:

  • Training custom object detection datasets (YOLO/OpenCV)
  • Real-time object detection
  • Thermal + depth sensing applications
  • ROS + Linux
  • Monocular SLAM concepts (ORB-SLAM3)
  • Embedded systems / real-time sensing projects

I’m trying to choose a thesis direction that would:

  1. Align well with my supervisor’s automotive/computer vision research
  2. Build industry-relevant skills
  3. Improve my chances for internships or future roles at AMD, Google, or similar companies
  4. Potentially connect with industry-sponsored projects in Ontario or Canada

I’m very open-minded and willing to learn new technologies (C++, GPU acceleration, ROS2, embedded systems, etc.).

  • What thesis topics would best position me for AMD / Google-level roles?
  • Should I focus more on:
    • ADAS / perception
    • Visual SLAM
    • Edge AI / deployment
    • GPU optimization
    • Embedded vision systems
  • Are there companies in Ontario/Canada that sponsor MASc students or work with industry research projects in these areas?
  • What technical skills would be most sought out?

Any advice from industry professionals, grad students, or researchers would be greatly appreciated. Thank you.

reddit.com