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Qualcomm is seeking a Software Engineer to design, develop, validate, and optimize embedded and cloud edge software and utilities. You will collaborate with system, hardware, architecture, and test teams to deliver high-performance solutions for state-of-the-art Edge AI and multimedia workloads.
The role emphasizes strong C/C++, Python, and Java skills, ARM architecture knowledge, and a track record of performance optimization in embedded real-time environments. On-site, San Diego-based position.
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General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.
Minimum Qualifications:
Our System software architecture team is driving embedded software stacks for complex SoCs with numerous types of cores, bus infrastructure, memories/caches, etc. We enable state of the art Edge AI and other multimedia use cases with the best possible performance/power, as well as SDKs to enable customer/community development.
This position/s will expose you to Qualcomm’s cutting-edge CPU and NPU features and ML/AI acceleration needed for the industry.
Candidates with 10+ years of relevant experience & willing to work in San Diego location are welcome to apply.
Preferred Qualifications:
Operating Systems and multi-threaded programming
Hardware drivers
Developing, debugging, profiling, and optimizing for embedded real-time environments.
Inter-processor communications
Excellent knowledge of ARM CPU architecture fundamentals and ARM ISA
Excellent understanding of CPU accelerator ISA for Vector/Matrix Data Processing
Performance Evaluation and Optimization of the applications for ARM architecture
Understanding of the typical Open Source Library framework design
Strong leadership skills to work across multiple-teams including System and HW to define the software architecture
Strong Analytical and debugging skills
Performance evaluation using QEMU, Simulators, Emulators and on Silicon