Lead Engineer, Senior-Machine Learning, embedded, C++
Qualcomm IncorporatedMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Lead development and commercialization of Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs focused on efficient AI inferencing for large generative AI models.
Optimize deployment and performance of large C/C++ software stacks implementing LLMs and LVMs on Qualcomm heterogeneous computing hardware.
Drive integration of generative AI models on-device using Qualcomm chipsets to enable near GPU-speed inference with low power usage.
Minimum Requirements
Bachelor's or Master's degree in Engineering, Computer Science or related field.
6+ years of relevant software development experience.
Strong proficiency in C/C++ programming, OS concepts, and scripting in Python.
Solid understanding of generative AI models (LLM, LVM, LMM), quantization, and optimizing algorithms for AI hardware accelerators (CPU/GPU/NPU).
Ideal Candidate Profile
Experienced in designing and deploying large-scale C/C++ software stacks for AI model inferencing on embedded SoCs.
Strong knowledge of SIMD processor architecture and parallel computing optimizations relevant to AI hardware.
Familiarity with Linux/Windows environments, kernel development, and AI frameworks such as PyTorch, TFLite, ONNX Runtime, and relevant open source GenAI tools.