AI/ML Platform Software Architect Staff/Manager

Job description

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary We are seeking candidates with strong optimized software development knowledge and hands‑on experience in AI. You will be leading teams responsible for running state‑of‑the‑art machine learning solutions on Snapdragon platform at best performance. You will work on technical initiatives to support the AI optimization workflow for application developers for Windows on Snapdragon. You will drive improvements into the SW stack including SDK, tools, and documentation that will directly impact ease of use and performance realization by Windows Application Developers on Snapdragon. You will spearhead initiatives to deploy cutting‑edge GenAI models on edge platforms. Responsibilities Enablement of Windows AI platform on Snapdragon through Snapdragon SW stack Understand the latest trends in ML and LLMs, and workflow through application developer engagements and latest academic research Continuously improve KPIs for performance and accuracy for AI models on Windows on Snapdragon Solve customer issues in AI application development so that Application Developers have nil to very low barrier to entry for Windows on Snapdragon Work with other cross‑site and cross‑functional teams to arrive at best‑in‑class performant solutions that can be leveraged by 3rd party app developers for Windows on Snapdragon Skills and Experience 8+ years’ experience in AI application development, preferably with experience on Windows AI platform Experience with optimizing models for performance and accuracy on AI hardware accelerators (CPU/GPU/NPU) Experience in architecting, designing, and implementing SW framework for complex heterogeneous or multi‑processor systems Excellent understanding of AI frameworks (TensorFlow, PyTorch, ONNX Runtime) and large language models/foundational models’ development and deployment Good understanding of complete AI software stack and familiarity with AI hardware acceleration technologies Experience with performance optimization of AI application on Windows using processor‑specific optimization tools/libraries/primitives on GPU, NPU Strong software engineering principles Hands‑on understanding of Generative AI models – LLM, LVM, LMMs and concepts such as attention, KV caching, LoRa, etc. Good understanding of latest LLM architectures like MOE Quantization, optimizations, and deployment of LLMs on edge devices, including latest quantization techniques such as GPTQ, SpinQuant, etc. Ability to code in C, C++, and Python Strong written and verbal communication skills Expertise in Windows ML, MCDM for AI compute (preferred) Strong communication skills to articulate complex technical concepts to non‑technical and technical stakeholders Strong leadership abilities to motivate and guide development teams Detail‑oriented with strong problem‑solving, analytical, and debugging skills, and ability to think strategically and drive innovative solutions Demonstrated ability to learn, think, and adapt in a fast‑changing environment Experience working with teams and stakeholders spread across sites Minimum Qualifications Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience Master’s degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience 3+ years of work experience with programming languages such as C, C++, Java, Python, etc. Equal Opportunity & Accessibility Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Please e‑mail disability‑accomodations@qualcomm.com or call Qualcomm's toll‑free number to request accommodations. Qualcomm will provide reasonable accommodations to support individuals with disabilities to participate in the hiring process. Qualcomm is also committed to making its workplace accessible for individuals with disabilities. Applicants are required to abide by all applicable policies and procedures, including security and other requirements regarding protection of company confidential information and other confidential and/or proprietary information, to the extent permissible under applicable law. #J-18808-Ljbffr