Engineer, Staff-Machine Learning-Embedded,C++
Qualcomm Incorporated (company site, opens in a new tab)6+ yrsHyderabadOn-siteDirect career pageEst. 35–55 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs, focusing on AI inferencing performance optimization.
- Deploy and optimize large-scale C/C++ software stacks for Generative AI models including LLMs and LVMs on heterogeneous Qualcomm hardware for edge inference.
- Collaborate across diverse teams to implement cutting-edge GenAI advancements on-device without cloud dependency.
Minimum Requirements
- Bachelor’s degree in Engineering, Computer Science or related field with 6+ years of relevant software development experience (Master’s or PhD with reduced experience acceptable).
- Strong proficiency in C/C++ programming, design patterns, and operating system concepts.
- Experience working with Generative AI models (LLM, LVM) and concepts like self-attention, cross attention, key-value caching, quantization, and AI hardware accelerator optimization (CPU/GPU/NPU).
- Good scripting skills in Python and excellent analytical and debugging abilities.
Ideal Candidate Profile
- Experienced software engineer with a strong background in embedded and heterogeneous computing environments focused on AI inferencing and deployment at the edge.
- Demonstrated expertise in deploying and optimizing large C/C++ software stacks in performance-critical settings, especially with Generative AI models and AI accelerators.
- Comfortable in a collaborative global environment, capable of integrating advancements in LLM/Transformer architectures and low-level system/kernel details.