Staff Product Manager: Data Center AI Software

Qualcomm

San Diego (CA)

On-site

USD 179,200 - 268,800

Full time

14 days+
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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

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.

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