AI & Data Center Power & Performance Program Manager

MaC VC; Santa Clara (CA); On-site; USD 202,000 - 303,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking a Technical Program Manager for Power and Performance initiatives in California and Texas. You will coordinate with PnP, SoC, IP and SW teams to drive milestones and optimize power and performance for next-generation server platforms.

This role is located in Santa Clara, CA, with a focus on cross-functional leadership, schedule management, and process improvement using AI insights to improve efficiency.

Qualifications

• Bachelor's degree in Engineering, Computer Science, or related field.
• 5+ years of Program Management or related work experience.

Responsibilities

• Contribute your expertise as a Technical Program Manager to next-generation server platforms within a matrixed organization across multiple SoC and IP teams and global locations.
• Ensure alignment across PnP, SoC, IP and SW teams to drive the effective use of power and performance insights, improving architectural decisions, implementation efficiency, and overall product execution.
• Define and manage program PnP requirements, scope, priorities, schedules, and deliverables with teams, partners, and other stakeholders.
• Drive process improvements across teams and functions. Ensure AI is heavily leveraged to achieve peak efficiency.
• Bring up and ramp team on tooling as needed to easily track the trend for every milestone.
• Coordinate PnP platforms’ supply and demand across teams within program constraints and priorities.

Skills

Program Management

Education

Bachelor's degree in Engineering, Computer Science, or related field

Job description

Qualcomm Technologies, Inc. is seeking a Technical Program Manager for Power and Performance initiatives in California and Texas. You will coordinate with PnP, SoC, IP and SW teams to drive milestones and optimize power and performance for next-generation server platforms.

This role is located in Santa Clara, CA, with a focus on cross-functional leadership, schedule management, and process improvement using AI insights to improve efficiency.