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Tier-1 brand plus metro location increase competition, while role specialization slightly tempers applicant density.
Requires deep ML framework/compiler expertise and SoC-specific optimization, making skills less transferable across industries.
Explicit 12+ years, specialized ML framework/compiler skills, and leadership expectations create high filtering.
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Lead and manage teams in designing and delivering machine learning software solutions optimized for Qualcomm's SoCs and AI 100 hardware.
Develop and optimize deep learning models, frameworks, and the entire AI software stack including graph compiler integration across scale-up and scale-out systems.
Drive cross-functional collaboration to analyze, optimize, and build software tools around machine learning pipelines using state-of-the-art algorithms and frameworks.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 6+ years of Software Test Engineering experience, OR Master's degree with 5+ years, OR PhD with 4+ years in Software Test Engineering.
12+ years of software engineering or related experience including extensive programming in C++ and Python.
2+ years experience in software or system test including development and automation of test plans and tools.
Strong foundation in mathematical modeling, linear algebra, machine learning algorithms, and software engineering best practices.
Experienced leader with a proven track record leading software engineering teams in machine learning domains, including deep learning and AI accelerators.
Technical expertise in deep learning frameworks (PyTorch, TensorFlow), ML model optimization, compiler integration, and performance profiling.
Hands-on with advanced C++ (C++14), Python programming, and open-source development practices targeting large-scale heterogeneous computing environments.