Deep Learning Engineer Interview Experience - Seoul, South Korea
Process
The interview was a phone call where an engineer on the team checked my background and knowledge relevant to the job. It was very informative and insightful about what I should expect if I got the job.
Questions
Introduce yourself.
Where else did you apply?
What is your plan after graduation? (Ph.D. vs. Jobs)
What is your thesis about? What is your own contribution?
Feature-based visual SLAM versus direct methods.
What is the effect of illumination change on both types of SLAM?
What are the benefits of using visual features such as ORB, SIFT, etc.?
Explain epipolar geometry and homogeneous coordinates.
Why is SIFT robust to illumination change? Why does it use a feature pyramid?
Explain monocular depth estimation.
Why do they use L1 loss in appearance matching, for example, in PackNet-SFM?
Why can training a neural network diverge sometimes? What can be done about it?
Interview Statistics
The following metrics were computed from 1 interview experience for the Qualcomm Deep Learning Engineer role in Seoul, South Korea.
Success Rate
Qualcomm's interview process for their Deep Learning Engineer roles in Seoul, South Korea is extremely selective, failing the vast majority of engineers.
Experience Rating
Candidates reported having very good feelings for Qualcomm's Deep Learning Engineer interview process in Seoul, South Korea.
Qualcomm Interview Questions
