Engineer, Senior-Machine Learning-Tools

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. • 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Team: Join the exciting AI software team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Requirements: Master’s/bachelor’s degree in computer science or equivalent. 9-14 years of relevant work experience in software development. Strong in C++ programming, Design Patterns and OS concepts. Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU). Strong in C/C++ programming, Design Patterns and OS concepts. Understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.) Floating-point, Fixed-point representations and Quantization concepts. Excellent analytical and debugging skills. Good communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Responsibilities: In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force. QA More details below: Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Seeing your work directly influences billions of devices around the world. Responsibilities: In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You would be enabling AI/ML stack on various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Requirements: * Experience: more than 9 years in software, with 1+ year focused on LLM/Generative AI systems. * Skills: Strong Python programming with C/C++ hands on, LLM API testing experience, and familiarity with LLM providers (OpenAI, Anthropic etc). * AI Knowledge: Understanding of embeddings, vector databases, and similarity search * Tools: Experience with LLM evaluation frameworks and automation tools Preferred Qualifications Knowledge of Processor architecture, memory hierarchies, cache and system design fundamentals. Basic OS concepts, multithreading, synchronization, posix threads. Knowledge of object-oriented software development. Background in mathematical operations: linear algebra, fast-math libraries. Floating-point, Fixed-point representations and Quantization concepts. Knowledge of parallel computing systems and associated languages like OpenCL, CUDA, etc. is a plus. Applicants: Qualcomm is an equal opportunity employer. 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