Staff Product Manager - Data Center AI Software

## Company: Qualcomm Technologies, Inc. ## Job Area: Operations Group, Operations Group > Product Management General Summary: Key Responsibilities * Develop product requirements based on customer feedback, competitive analysis, industry trends, and business objectives. * Own the strategy and requirements for AI software stacks including: * LLM optimization and deployment tools * Kubernetes and cloud-native AI infrastructure * Model onboarding and validation workflows * Benchmarking and performance analysis tools * Developer experience and ecosystem integration Customer & Ecosystem Engagement * Engage directly with cloud service providers, enterprises, system integrators, and ISV partners. * Gather requirements and translate customer needs into actionable product plans. * Support proof-of-concepts, customer evaluations, and production deployment initiatives. * Present product strategy and technical capabilities to executive stakeholders and customers. Competitive Analysis * Monitor AI infrastructure trends and competitive offerings across NVIDIA, AMD, Intel, AWS, Google, and emerging AI accelerator providers. * Evaluate emerging AI frameworks, open-source projects, and ecosystem technologies. This is an office based position located in San Diego, CA and is expected to comply with the company's onsite work policy. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field. • 5+ years of Product Management or related work experience. Preferred Qualifications: * Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related technical field. * Master's degree or PhD in Computer Science, AI/ML, Electrical Engineering, or related field. * 8+ years of product management, software engineering, technical marketing, or related experience. * 5+ years of experience in AI/ML, cloud infrastructure, distributed systems, or data center technologies. * Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI inference technologies. * Experience working with AI frameworks such as PyTorch, TensorFlow, vLLM, SGLang, Hugging Face, Ray, or equivalent technologies. * Familiarity with cloud-native technologies including Kubernetes, Docker, and distributed computing systems. * Experience defining product requirements and executing complex technical roadmaps. * Strong communication, leadership, and stakeholder management skills. * Experience with AI accelerator hardware, GPUs, NPUs, or custom silicon platforms. * Knowledge of LLM serving architectures, optimization techniques, quantization, and distributed inference. * Experience with AI benchmarking and performance analysis. * Familiarity with inference metrics such as TTFT, TPOT, throughput, latency, and scaling efficiency. * Experience working with hyperscale cloud providers and enterprise AI customers. * Background in open-source AI ecosystems and developer communities. * Demonstrated success launching enterprise software or AI infrastructure products. Success Metrics * Delivery of strategic AI software capabilities aligned with customer and business priorities. * Growth of AI ecosystem adoption on Qualcomm platforms. * Successful customer onboarding and production deployments. * Improved AI workload performance, scalability, and developer experience. * Expansion of strategic partnerships across the AI ecosystem. Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also...