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.