System Performance Engineer

Overview

Company:Qualcomm Technologies, Inc.

Job Area:Engineering Group, Engineering Group > Systems Engineering

Job Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.

GENERAL SUMMARY

System Performance Team is focused on analyzing and optimizing SoC level Performance and Power across Mobile, Compute and AI workloads. Key responsibilities of the Job include:AI network model performance and power analysis on SoCEnable multiple AI network models on Linux/Android platform (either pre-trained or train them on specific test data-sets). Analyze the impact of quantization, pre/post processing, measure accuracy with standard data-sets (like ILSVRC Imagenet data-base, etc)Understand the architecture of key networks (CNN, DLRM, RNN) and analyze power and performance on QCOM SoCsOptimize SoC memory controller, Neural Processor parameters (TLB/Cache size, etc) to achieve optimal performance/power/area Neural network modelsBe able to integrate AI models into different OS Identify areas of Performance optimization in the SoC in both Software and Hardware architectures.Work with Software and Hardware design teams to debug and resolve performance/power bottleneck issuesDeliver recommendations to Hardware and Software teams to achieve better performance and power efficiencyMinimum QualificationsBachelor’s degree in Engineering, Information Systems, Computer Science, or related field.5+ years Systems Engineering or related work experience.Preferred Qualifications:-Masters degree in Engineering, Information Systems, Computer Science, or related field.Good understanding of AI, Machine Learning concepts (CNNs, ResNets, MLP, NLP)Good knowledge of Computer and Memory Architecture ConceptsProficient in multiple AI frameworks (Tensorflow, ONNX, Pytorch, Keras, Caffe). Ability to analyze the performance/power of pre-trained models on SoCProficient in AI/ML concepts. Experience with multiple AI frameworks to be able to train and analyze inference performance (Pytorch, Caffe, ONNX, Tensorflow, Keras)Knowledge of Linux Kernel Programming and Porting of Linux/Android onto embedded processors and SoCsProficient in Embedded Systems Programming in C, C++Knowledge of Compiler Optimization Techniques used for Embedded SystemsAdditional Preferred Qualifications:Familiarity with ARM based SoCs and tools (Trace32)Compiler design and optimizationPerformance Modeling on ARM simulatorsFamiliarity with AI/ML concepts and frameworks like Tensorflow, Pytorch, etcEmbedded System Power AnalysisLinux and Android Device Driver developmentNeural Network Design and Optimization

System Performance Team is focused on analyzing and optimizing SoC level Performance and Power across Mobile, Compute and AI workloads. Key responsibilities of the Job include:

+ AI network model performance and power analysis on SoC

+ Enable multiple AI network models on Linux/Android platform (either pre-trained or train them on specific test data-sets). Analyze the impact of quantization, pre/post processing, measure accuracy with standard data-sets (like ILSVRC Imagenet data-base, etc)

+ Understand the architecture of key networks (CNN, DLRM, RNN) and analyze power and performance on QCOM SoCs

+ Optimize SoC memory controller, Neural Processor parameters (TLB/Cache size, etc) to achieve optimal performance/power/area Neural network models

+ Be able to integrate AI models into different OS

+ Identify areas of Performance optimization in the SoC in both Software and Hardware architectures.

+ Work with Software and Hardware design teams to debug and resolve performance/power bottleneck issues

+ Deliver recommendations to Hardware and Software teams to achieve better performance and power efficiency

Minimum Qualifications

+ Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.

+ 5+ years Systems Engineering or related work experience.

Preferred Qualifications :

+ – Masters degree in Engineering, Information Systems, Computer Science, or related field.

+ Good understanding of AI, Machine Learning concepts (CNNs, ResNets, MLP, NLP)

+ Good knowledge of Computer and Memory Architecture Concepts

+ Proficient in multiple AI frameworks (Tensorflow, ONNX, Pytorch, Keras, Caffe). Ability to analyze the performance/power of pre-trained models on SoC

+ Proficient in AI/ML concepts. Experience with multiple AI frameworks to be able to train and analyze inference performance (Pytorch, Caffe, ONNX, Tensorflow, Keras)

+ Knowledge of Linux Kernel Programming and Porting of Linux/Android onto embedded processors and SoCs

+ Proficient in Embedded Systems Programming in C, C+

+

+ Knowledge of Compiler Optimization Techniques used for Embedded Systems

Additional Preferred Qualifications:

+ Familiarity with ARM based SoCs and tools (Trace32)

+ Compiler design and optimization

+ Performance Modeling on ARM simulators

+ Familiarity with AI/ML concepts and frameworks like Tensorflow, Pytorch, etc

+ Embedded System Power Analysis

+ Linux and Android Device Driver development

+ Neural Network Design and Optimization

Minimum Qualifications

Education:

Bachelors – Computer Science, Bachelors – Engineering, Bachelors – Information Systems

Work Experiences:

5+ years of Systems engineering or related work experience.

Certifications:

Skills:

Preferred Qualifications

Education:

Work Experiences:

1+ years of work experience in a role requiring interaction with senior leadership (e.g., Director level and above). ,3+ years experience working in a large matrixed organization. ,3+ years experience with Database Management Software. ,3+ years experience with Development Environment Software such as Apache Maven, Ruby, etc. ,3+ years experience with Testing Software such as Bugzilla, LoadRunner, etc. ,8+ years Systems Engineering or related work experience.

Certifications:

Skills:

Decomposition, Enterprise System Implementation, Metrics, Root Cause Analysis, Software Testing Tools

Applicants: If you are an individual with a disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm is an equal opportunity employer and supports workforce diversity.

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EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .

We are engineers, scientists and business strategists. We are from many different countries and speak many different languages. We come from diverse cultures and have unique perspectives. Together, we focus on a single goal—we invent breakthrough technologies that transform how the world connects, computes, and communicates.

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