Systems Engineer, Data Center AI

## Company: Qualcomm Technologies, Inc. ## Job Area: Engineering Group, Engineering Group > Systems 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 Datacenter AI Systems Engineer, you will research, develop, optimize, and validate software, hardware, architecture, algorithms, and machine learning solutions that enable the deployment of cutting-edge AI datacenter technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. This is a great opportunity to innovate and develop leading-edge products and solutions around best-in-class Qualcomm AI inference accelerators for data center, and hybrid AI applications. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. Principal Duties and Responsibilities: * Develop AI/ML solutions that bring together Qualcomm AI hardware products, technologies, software, and ecosystem and provide best-in-class AI inference performance, power efficiency and scalability * Assist in the design, development, implementation and deployment of Gen AI and LLM applications * Contribute towards implementing fine tuning and distillation techniques * Apply Systems knowledge and experience to research, design, develop, simulate, and/or validate systems-level software, AI hardware, architecture, deep learning algorithms, and AI solutions while ensuring system-level requirements and standards are met * Perform AI model benchmarking and functional analysis to drive requirements and specifications * Propose deployment strategies with AI model/workload optimization and deployment * Build AI solutions and develop and analyze system level design including requirements, interface definition, functional/performance definition, and implementation of a new system or modification of an existing system * Collaborate with own team and other teams to complete project work, including implementing and testing features and verifying the accuracy of AI systems * Keep abreast with the latest advancements in the AI/ML space (models, HW/SW) and drive innovative solutions. * Develops new and innovative ideas for a product or feature area * Drives triage of problems at the system level to determine root cause and presents results of testing and debugging to team members. Required Skills: * Strong proficiency in Python, and ML frameworks (PyTorch, TensorFlow). * Deep understanding of ML development, deployment and applications. * Deep understanding of system performance profiling and parallel computing. Preferred Qualifications: * Master's or PhD Degree in Engineering, Information Systems, Computer Science, Physics or related field * Good understanding of GenAI architectures from transformers, diffusion, hybrid - LLMs, LVMs, embeddings * Working experience with fine-tuning GenAI models and Reinforcement Learning * Background in compiler optimizations for ML workloads is a plus * Experience with architectural Patterns for Large-Scale AI Systems: Knowledge of microservices, and distributed systems * Optimize inference performance across heterogenous nodes CPUs, GPUs, and specialized accelerators * Experience in implementing caching, batching, and parallelization strategies for high-throughput systems. * Familiarity with hardware acceleration * Proficiency with version control systems (Git) and code review tools (Gerrit, GitHub, GitLab) and collaborative development...