Hiring.Camp

DSP Performance Verification and Power Modelling Engineer

Qualcomm

·

Mar 6, 2026

Location
Bengaluru, KA,IN, IN · Hyderabad, TS,IN, IN
Type
Full-time
Department
Engineering
Education
PhD
Source
Eightfold

Description

In this highly visible and interactive role, your primary responsibility will be to drive performance verification/correlation of DSP IP by working with global DSP design team involving architecture, implementation, post silicon and back-end teams Responsible for analyzing power and performance efficiency across cores/chipsets. Responsible for building infrastructure for performance verification and verifying performance of processors Work with front end power and backend teams to build power models, estimate power for AI/ML workloads. Writing specific targeted tests to measure power and performance of the processor. Involves having a deep understanding of processor micro-architecture and triaging performance issues in RTL and simulator 8-18 years' experience in processor/ASIC performance correlation, power estimation and analysis. Experience in micro-architecture testing for modern high-performance, low power processors Experience in writing tests and building infrastructure that tests power and performance of modern processors. Experience in application-level power and performance analysis Programming/Scripting Skills — C, C++, Perl, Python, Shell, Make file TCI Solid background and understanding of Digital Design, RTL design, improving model performance and Processor Architecture Strong troubleshooting, analytical and debug skills Prior experience is performance correlation of Processor subsystems (ARM/DSP) is preferred Should have excellent inter-personal, communication skills and ability to work in a fast-paced exciting environment Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

Skills

PythonPerl