Technical Program Manager – GPU AI

Qualcomm

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$171,200–$256,800 / yr
Posted
2 days ago
Closes
Dec 15, 2026
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $206k
This role $214k
$149k most similar roles pay here $268k

This role pays more than 63% of similar roles. Most pay $177,250–$235,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 763 open roles on FindRole.

Listed pay typically runs $151,900–$229,800 across 453 roles with salary data.

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At a glance

TL;DR · Technical Program Manager – GPU AI

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Qualcomm is hiring a Technical Program Manager for its Adreno GPU Program Management team in San Diego to oversee GPU AI workstreams and ensure cross-functional alignment across engineering teams. The role involves leading program management activities, driving centralized tracking through JIRA and Confluence, coordinating execution across various technical domains like framework enablement and workload analysis, and supporting leadership with concise reporting. Ideal candidates have over 10 years of experience in HW/SW engineering, including technical program management, familiarity with ASIC/IP development processes, and hands-on experience with Atlassian tools. Additional preferred skills include knowledge of AI/ML frameworks, open-source ecosystems, and the ability to work effectively in a fast-paced environment.

Skills

JIRA Confluence AI/ML Graphics System Performance ASIC/IP Development Planning Dependency Management Risk Tracking Milestone Execution Open-Source Enablement CI/CD Agile Methodology PMP Certification TVM MLC LiteRT WebGPU IREE

What you'll do

  • Lead program management for GPU AI activities across engineering teams.
  • Drive centralized tracking and prioritization of GPU AI workstreams and deliverables.
  • Maintain ownership, milestones, dependencies, and risks using JIRA and Confluence.
  • Coordinate execution across framework enablement, workload analysis, and kernel optimization.
  • Run cross-functional reviews and support leadership updates with concise dashboards.

What we're looking for

  • 10+ years of HW/SW engineering experience, including technical program management.
  • Experience in AI/ML, graphics, or system performance-related development environments.
  • Familiarity with ASIC/IP development processes and cross-functional execution.
  • Hands-on experience with Atlassian JIRA and Confluence for tracking and reporting.
  • Strong communication skills for both technical and leadership audiences.
  • PMP and/or Agile certification preferred but not required.

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