AI NPU Compute Apps - Product Manager Staff, PC Compute

1 Month ago • 4-10 Years • Product Management • $179,200 PA - $268,800 PA

Job Summary

Job Description

As a market leader in AI Compute, Qualcomm is driving the AI PC transformation with the new Snapdragon X Elite SoC. This role involves directing a product strategy and roadmap for compute AI NPU app experiences, collaborating with executives across top app developers, guiding technical teams, and establishing a GTM plan for product launch. The Product Manager will act as a central resource across various teams to drive strategy execution from product conception to launch, including market research, prioritizing AI technology features, and guiding developer ecosystems to optimize solutions for CPU cores. The role requires driving new products and technologies through marketing, and technical events.
Must have:
  • Bachelor's degree in Engineering, Computer Science, or related field.
  • 4+ years of Product Management or related work experience.
  • Deep understanding of AI technology like PyTorch, ONNX, DirectML.
  • Experience with LLM, LVM, and Gen AI model architectures
Good to have:
  • MBA or Master’s degree in Engineering or related field.
  • 7-10 years Product Management or related work experience.
  • Expert in collaborating with external partners for roadmaps.
  • Background in bringing SW products and solutions to market.
  • Strong leadership and communication skills.
Perks:
  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package.

Job Details


Company:

Qualcomm Technologies, Inc.

Job Area:

Operations Group, Operations Group > Product Management

General Summary:

As a market leader in AI Compute, Qualcomm is driving the AI PC transformation with the new Snapdragon X Elite SoC, that is exclusive to Windows CoPilot+ PCs. The Snapdragon Compute platform includes cutting edge IP cores delivering industry best-in-class CPU, GPU, and NPU that enable innovative AI experiences. Optimizing neural networks and GenAI models on the 45 TOPs NPU accelerates processing by up to 10x performance at a fraction of the power.

This leadership role will direct a comprehensive product strategy and roadmap for the compute AI NPU app experiences leveraging the market leading 45 TOPs NPU to accelerate AI models for generative AI, LVM, and LLMs on the edge. This involves collaborating with executives across top app developers to define breakthrough experiences, guide technical teams through the execution, and establish a GTM plan for product launch. The innovative solutions will be part of Qualcomm CEO and executive keynotes as well as Microsoft and OEM partner showcases.

The Product Manager functions as a central resource across Engineering, Technical Program Managers and Marketing to drive the execution of the strategy from product conception and definition through launch. This includes conducting market research to identify trends and prioritize AI technology features across the Snapdragon AI software roadmap.

PRINCIPAL DUTIES AND RESPONSIBILITIES:

  • Lead a comprehensive product strategy and roadmap for defining breakthrough AI NPU LLM experiences and guiding technical teams during execution through product launch
  • Define innovative compute application experiences, incubate executive engagement with market leading partners to establish a roadmap to launch.
  • Research consumer application segments for optimizing solutions across PLM, LLM, LVMs to define a product roadmap of AI experiences.
  • Direct team cross-org collaboration to establish priority of open-source AI models spanning LLMs, LVMs, computer vision models.
  • Partner with Engineering and Technology Program Managers to prioritize and execute on the software strategy and roadmap.
  • Guides developer ecosystem to optimize solution for the Oryon CPU cores
  • Scale app developer engagements via webinars, campaign outreach, and drive dashboards of the developer journey
  • Markets new and complex products and technologies through technical marketing opportunities such as conferences, industry events, and drives product launch efforts

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
• 4+ years of Product Management or related work experience.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
  • MBA or Master’s degree in Engineering or related field.
  • 7-10 years Product Management or related work experience.
  • Deep understanding of AI technology including PyTorch, ONNX, DirectML.
  • Experience with LLM, LVM, and Gen AI model architectures
  • Expert in collaborating with external partners to define roadmaps and execution through launch.
  • Background in bringing SW products and solutions to market.
  • Strong leadership skills, and a self-starter who possesses a sense of ownership around delivering on team goals.
  • Excellent interpersonal and communication skills.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

 

Pay range and Other Compensation & Benefits:

$179,200.00 - $268,800.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  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. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link.

If you would like more information about this role, please contact Qualcomm Careers.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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