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Sr. Director, AI Technology & Manufacturing

Job in San Diego, San Diego County, California, 92189, USA
Listing for: QUALCOMM, Inc.
Full Time position
Listed on 2026-10-11
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 252000 - 378000 USD Yearly USD 252000.00 378000.00 YEAR
Job Description & How to Apply Below
Company:

Qualcomm Technologies, Inc.

Job Area:

Engineering Group, Engineering Group >
Hardware Engineering

General

Summary:

Qualcomm is seeking a Sr. Director, AI Technology & Manufacturing to support the expansion of Qualcomm’s technology and manufacturing agenda within “GMTO” (Global Manufacturing Technology and Operations). This leader will help build and scale the technologies, manufacturing capabilities, supply ecosystem, and operating model required to support Qualcomm's expansion into new markets.

The Sr. Director will bring together currently distributed efforts across system-technology co‑optimization (STCO), QCM, test, manufacturing, and supplier enablement into one integrated, funded and executable roadmap spanning silicon, packaging, substrates, memory, power, thermal management, test, and system development.

This is a highly cross‑functional leadership role requiring deep semiconductor expertise, strong business judgment, and the ability to lead across GMTO, the Datacenter and Automotive Business Units, Design, Supply Chain, Finance, and external manufacturing and technology partners.

This role will report directly to the GMTO lead, and will work very closely with executive general managers for business from the Data Center to Automotive to Physical AI and Robotics.

Principal

Duties & Responsibilities AI Technology Operations & Manufacturing Strategy
  • Lead Qualcomm's datacenter and module technology and manufacturing agenda within GMTO across test, packaging, substrates, memory, power, thermal and system development.
  • Develop and own an integrated STCO roadmap across silicon, package, power and thermal, aligned with the Datacenter, Automotive and Physical AI BU's 3 to 4-year product plans.
  • Translate long-range business unit requirements into actionable technology, manufacturing, capacity and capability plans.
  • Drive qualification through scale for key datacenter technologies, including QCM/HBM, EMIB, SI/PI and thermal.
Manufacturing & Supply Assurance
  • Drive execution to secure required capacity across advanced-node wafer, substrates, OSAT/CM and memory, including CY27+ supplier capacity agreements.
  • Execute supply‑chain assurance investment across memory, OSAT/test and substrates, with strong capital and cost discipline.
  • Build effective relationships across the foundry, OSAT, substrate and memory supplier ecosystem and support executive‑level supplier engagements.
Datacenter and Automotive Test & Technology Capability
  • Lead the stand‑up and scaling of Qualcomm's datacenter test capability, including the planned deployment of hardware engineers across various Qualcomm sites.
  • Establish robust strategies for burn-in, system‑level test and thermal management appropriate for server‑class products.
  • Ensure technology and manufacturing readiness through qualification and volume ramp.
Cross‑Functional Leadership & Operating Model
  • Create strong alignment and clear operating interfaces across GMTO, Datacenter BU and Qualcomm Engineering organizations.
  • Establish clear accountability and decision‑making mechanisms across technology roadmap, technical qualification, supplier selection and make‑versus‑buy decisions.
  • Build a sustainable joint planning cadence with the Datacenter and automotive Business units that connects near‑term GMTO execution with longer‑term product requirements.
  • Lead through a matrixed organization across Qualcomm, supported by a small direct core team.

While there is a strong preference for this position to be based in San Diego, CA alternative locations within the U.S. can be considered for the successful candidate.

Travel requirement will be approximately 60-70%.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and…
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