The place to go if you are looking at scaling upward the ladder faster
The place to go if you are looking at scaling upward the ladder faster
Qualcomm is a good place to work if you want to grow up the ladder faster. The expectations are not very high. If you are diligent, you can gain financially and grow up pretty fast.
Work-life balance is not good.
There is a lot of repeated work, so the work is quantitatively more than the quality.
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Qualcomm Interview Questions
Qualcomm Interview Experiences
Senior Lead Engineer
Project related technical discussion. Technical discussion in SystemVerilog UVM, protocol knowledge. Given some coding questions. Puzzle questions. Verilog, SystemVerilog, UVM, AXI protocol-based questions. Project architecture and interface signals.
Senior Lead Engineer
There were five technical rounds. Each round focused on a different topic: * GPU architecture concepts * Graphics pipeline in-depth discussion * System design problems with implementation in your choice of programming language.
Senior Lead Engineer
6 technical rounds and 1 HR round. Interviews focus on: * Deep learning and machine learning * Computer vision * Image processing * In-depth and breadth of machine learning * Probability and statistics (required) * Aptitude and problem-solving
Senior Lead Engineer
Bengaluru, Karnataka, IndiaSeptember 30, 2024Project related technical discussion. Technical discussion in SystemVerilog UVM, protocol knowledge. Given some coding questions. Puzzle questions. Verilog, SystemVerilog, UVM, AXI protocol-based questions. Project architecture and interface signals.
Senior Lead Engineer
Bengaluru, Karnataka, IndiaJanuary 1, 2023There were five technical rounds. Each round focused on a different topic: * GPU architecture concepts * Graphics pipeline in-depth discussion * System design problems with implementation in your choice of programming language.
Senior Lead Engineer
Bengaluru, Karnataka, IndiaSeptember 1, 20216 technical rounds and 1 HR round. Interviews focus on: * Deep learning and machine learning * Computer vision * Image processing * In-depth and breadth of machine learning * Probability and statistics (required) * Aptitude and problem-solving
