Cutting-Edge Technology for VLSI Domain
Cutting-Edge Technology for VLSI Domain
- Chance to work on cutting-edge technology.
- An RTL Front End profile offers exposure to work with multiple domain stakeholders.
- Pay is decent. Growth is based on performance and rating.
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In India, the Derivative project is in progress. New project ownership is in the USA.
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There is a strict timeline for the project. This would impact work-life balance.
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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
