About The Position

The Qualcomm Cloud AI project is developing rack scale, energy efficient, AI inference solutions for next-generation data centers. As the organization continues to grow, the team is seeking experienced, teamwork oriented Technical Program Managers (TPM) to help deliver the next wave of innovative AI products. As an AI Inference project Technical Program Manager, you will be a partner and work with cross functional teams spanning SoC, HW, SW/FW, PTE, Performance/Power etc. Collaborating closely with peer TPMs, you will ensure program activities are well planned, tracked, and executed against phase-gate milestones from concept through production. Execute technical program management of AI Inference project within a matrixed organization across multiple teams and global locations. Provide hands-on program management across analysis, design, development, testing, implementation, and post-implementation phases. Define and manage program requirements, scope, schedules, and deliverables with engineering teams, partners, and stakeholders. Conduct risk assessments, implement mitigation strategies, manage change, actively communicating with stakeholders to drive solutions. Oversee daily activities and quality assurance by establishing and tracking milestones, plans, and project tasks, managing feature requests, and balancing schedules with product value. Drive process improvements across teams and functions. Coordinate platforms’ supply and demand across teams within program constraints and priorities. Communicate regularly with project leads and internal teams, providing senior management with updates on milestones, budgets, metrics, risks, and mitigation plans. Define and track program-level KPIs and publish executive dashboards and weekly program reviews.

Requirements

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

Nice To Haves

  • Master’s degree in electrical engineering, Computer Science or a related field.
  • 8+ years of experience in systems or hardware engineering, hardware project lifecycle management, and technical product/program management.
  • Experience with rack level systems and components.
  • Proven experience collaborating with technical teams to develop systems, solutions, and products.
  • Strong ability to build working relationships across multidisciplinary teams and global time zones.
  • Experience in managing technical programs across cross-functional teams, establishing processes, and coordinating release schedules, and working in large, matrixed organizations.
  • Demonstrated proficiency with Microsoft Office applications, SharePoint, JIRA/Confluence, and other defect-tracking tools.
  • Persuasive communication, organizational, coordination, multi-tasking, and documentation skills.
  • Experience with AI/ML, datacenter architecture, CPU servers
  • Familiarity with Agile methods and practices.
  • Experience working with CMs, OEMs, ODMs, and suppliers in product development.
  • Strong cross-functional communication skills, with experience managing complex program lifecycles, building sustainable processes, and coordinating release schedules.
  • Project Management Professional (PMP) certification.

Responsibilities

  • Execute technical program management of AI Inference project within a matrixed organization across multiple teams and global locations.
  • Provide hands-on program management across analysis, design, development, testing, implementation, and post-implementation phases.
  • Define and manage program requirements, scope, schedules, and deliverables with engineering teams, partners, and stakeholders.
  • Conduct risk assessments, implement mitigation strategies, manage change, actively communicating with stakeholders to drive solutions.
  • Oversee daily activities and quality assurance by establishing and tracking milestones, plans, and project tasks, managing feature requests, and balancing schedules with product value.
  • Drive process improvements across teams and functions.
  • Coordinate platforms’ supply and demand across teams within program constraints and priorities.
  • Communicate regularly with project leads and internal teams, providing senior management with updates on milestones, budgets, metrics, risks, and mitigation plans.
  • Define and track program-level KPIs and publish executive dashboards and weekly program reviews.

Benefits

  • We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.
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