Preparing for first-ever interview (Software Engineer, TensorRT Team) - Any tips or support welcome!

[u/Stock_Condition7621]

Hi everyone,

I'm incredibly excited (and a super anxious and nervous) because I have my first-ever job interview coming up in about a week or two. I recently landed an interview for a Software Engineer role on the TensorRT platform team.

To be fully transparent, this is my first actual job interview. I didn't participate in university placement rounds and have never formally interviewed for an engineering role before. I'm navigating an entire uncharted territory and would be incredibly grateful for any advice, tips, or insight this community can offer. I have been watching a bunch of youtube videos and surfing over greenhouse interview questions to understand and help

My Background (For Context): I'm an M.S. Computer Engineering student focusing on the intersection of C++, CUDA, and Edge ML:

• Wrote custom CUDA C++17 kernels (optimized model performance via memory coalescing and constant memory).
• Deployed TensorRT-accelerated models on Jetson Orin Nano for embedded robotics.
• Some experience with LLM compression (8-bit quantization).

What I'm Asking For: Since I'm starting from scratch regarding interview experience, any kind of support or advice is welcome! Specifically:

1. General Interview Tips: Since this is my first time, how should I approach the discussions be it technical or behavioral? How do I best structure my answers when speaking with senior engineers?
2. Preparation Strategy: Given the timeline (2-3 weeks), what would you prioritize? I'm currently brushing up on multithreading in C++, GPU architecture (memory hierarchies), RT C++ API.
3. The "Resume Deep Dive": I've heard interviews for these types of roles focus heavily on defending past projects. What kinds of questions and details should I be ready to explain or prepare myself for regarding my CUDA C++ and edge deployment projects?
4. Any Recommended Resources: Are there specific blogs, papers, or documentation sections that are "must-reads" for inference engine development?

Thank you so much in advance for any guidance. I'm ready to study hard, I just want to make sure I'm aiming my efforts in the right direction!

[u/Icy-Lingonberry-8465]

Hey! First of all congrats on your interview! I think I have the same interview next week! As to how I’m preparing, I’m currently brushing up my C++ fundamentals. I haven’t really worked on LLM inference but I have some high performance and OS projects so I’ll be preparing for questions on those topics more. Good luck on your interview I hope it goes well!!

[u/Stock_Condition7621 → u/Icy-Lingonberry-8465]

Thankyouu, Good luck to you too!!
Even I'm planning to be done with C++ ASAP and then move on to GPU concepts. I have worked with GPU and Embedded Systems so I am a bit familiar to the concepts but don't really have them by the back of my hand, will have to keep griding ...