Staff Product Manager - Data Center AI Software

Qualcomm; San Diego (CA); On-site; USD 179,200 - 268,800; Full time

Job summary

Qualcomm Technologies, Inc. in San Diego is seeking a results‑driven Product Manager to own the AI software stack strategy, gather customer feedback, and define requirements for LLM optimization, Kubernetes, and cloud‑native AI infrastructure.

You will work with cloud providers, enterprises, and partners to translate needs into actionable roadmaps, support PoCs and evaluations, and present plans to executives to drive product adoption and performance.

Qualifications

• Minimum 5+ years in Product Management or related field.
• Bachelor's degree in Engineering, Information Systems, CS, Humanities, or related field.
• Preferred: Master's or PhD in CS, AI, EE or related field.
• 5+ years in AI/ML, cloud infrastructure, distributed systems, or data center tech.
• Experience with AI frameworks and cloud-native technologies.

Responsibilities

• Develop product requirements based on customer feedback and market trends.
• Own strategy and requirements for AI software stacks (LLM optimization, Kubernetes, cloud-native infra).
• Engage with cloud providers, enterprises, and ISV partners.
• Translate customer needs into actionable product plans.
• Support proofs-of-concept, evaluations, and production deployments.
• Present product strategy and capabilities to executives and customers.
• Monitor AI infrastructure trends and competitors.

Skills

Strong communication

Leadership

Stakeholder management

Product strategy

Customer focus

Education

Bachelor's degree in Engineering

Master's or PhD in CS/AI/EE

Tools

PyTorch

TensorFlow

vLLM

SGLang

Hugging Face

Ray

Kubernetes

Docker

Job description

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.

Pay Range and Other Compensation & Benefits

$179,200.00 - $268,800.00

Equal Opportunity Employment

Qualcomm is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm is also committed to providing reasonable accommodations for individuals with disabilities during the application and hiring process. For assistance, e‑mail disability‑[e-mail] or call Qualcomm’s toll‑free number.