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Tier-1 brand and metro location raise competition, but senior niche ML/compiler focus narrows the pool.
Specialized ML framework, compiler, and hardware optimization skills limit cross-industry transferability.
Explicit 10+ years plus specialized ML, compiler, and hardware optimization requirements enforce strict filters.
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Lead and manage software development of machine learning frameworks and solutions optimized for Qualcomm's SOCs, including deep learning model optimization on Qualcomm AI 100.
Drive cross-functional collaboration to analyze, design, and implement scalable deep learning pipelines and software tools involving inference accelerator abstraction layers and graph compiler integration.
Own the full software product lifecycle from requirements analysis, system-level issue resolution, to delivery of high-performance ML software compatible with large-scale heterogeneous clusters.
Bachelor's degree in Engineering, Information Systems, Computer Science or related field with 8+ years of software engineering experience OR Master's degree with 7+ years OR PhD with 6+ years.
Minimum 4+ years work experience with programming languages including C, C++, Java, Python.
10+ years software engineering experience explicitly preferred and strong experience in C++ and Python programming.
Experience with machine learning software engineering including deep learning frameworks development and optimization specifically for SOC or hardware accelerators.
Proven track record leading high-performing teams in ML software engineering focusing on scalable system design and deployment.
Strong expertise in mathematical modeling, linear algebra, and advanced ML/AI algorithms with hands-on experience optimizing deep learning models on custom AI hardware platforms.
Skilled in C/C++/Python with experience in software design best practices, debugging, performance analysis, and open source development; comfortable building abstraction layers and ecosystem tools in complex ML systems.