Systems Performance Engineer (AI & Machine Learning)

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.

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.

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: Workload enablement on Android and Linux operating systems on both FPGA and Silicon Platforms Design and conduct performance and power analysis experiments 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.

• 2 years Systems Engineering or related work experience.

Must haves: Proficient in Linux Kernel Programming and Porting of Linux/Android onto embedded processors and SoCs Good knowledge of Computer and Memory Architecture Concepts Proficient in Embedded Systems Programming in C, C++ Knowledge of Compiler Optimization Techniques used for Embedded Systems 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 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 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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