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Tier-1 brand and mid-senior level but specialized ML/SoC focus limits applicant pool.
Role requires SoC-specific ML deployment and LLM specialization, limiting cross-industry transferability.
Explicit 6+ years requirement plus mandatory LLM, embedded, and C/C++ skills create strict filters.
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Lead development and commercialization of Machine Learning solutions like Snapdragon Neural Processing Engine SDK on Qualcomm SoCs.
Enable and optimize AI/ML stack performance across multiple hardware accelerators (CPU/GPU/NPU).
Maintain and enhance complex C/C++ software stacks and keep up with advances in software engineering and machine learning for continuous solution improvement.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 3+ years experience; OR Master's degree with 2+ years; OR PhD with 1+ year.
Over 6 years of software development experience, specifically with LLM/Generative AI systems.
Strong programming skills in Python and hands-on experience in C/C++.
Experience with LLM API testing and familiarity with LLM providers such as OpenAI and Anthropic.
Experienced in deploying and optimizing large AI software stacks on heterogeneous computing platforms.
Familiar with AI concepts including embeddings, vector databases, similarity search, and LLM evaluation frameworks.
Has knowledge of processor architecture, OS concepts (multithreading, synchronization), and parallel computing concepts (OpenCL, CUDA) indicating ability to optimize for performance across hardware accelerators.