Job description

Company: Qualcomm Technologies, Inc. Job Area: Operations Group, Operations Group > Product Management General Summary: Key Responsibilities • Develop product requirements based on customer feedback, competitive analysis, industry trends, and business objectives. • Own the strategy and requirements for AI software stacks including: • LLM optimization and deployment tools • Kubernetes and cloud-native AI infrastructure • Model onboarding and validation workflows • Benchmarking and performance analysis tools • Developer experience and ecosystem integration Customer & Ecosystem Engagement • Engage directly with cloud service providers, enterprises, system integrators, and ISV partners. • Gather requirements and translate customer needs into actionable product plans. • Support proof-of-concepts, customer evaluations, and production deployment initiatives. • Present product strategy and technical capabilities to executive stakeholders and customers. Competitive Analysis • Monitor AI infrastructure trends and competitive offerings across NVIDIA, AMD, Intel, AWS, Google, and emerging AI accelerator providers. • Evaluate emerging AI frameworks, open-source projects, and ecosystem technologies. This is an office based position located in San Diego, CA and is expected to comply with the company's onsite work policy. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field. • 5+ years of Product Management or related work experience. Preferred Qualifications: • Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related technical field. • Master's degree or PhD in Computer Science, AI/ML, Electrical Engineering, or related field. • 8+ years of product management, software engineering, technical marketing, or related experience. • 5+ years of experience in AI/ML, cloud infrastructure, distributed systems, or data center technologies. • Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI inference technologies. • Experience working with AI frameworks such as PyTorch, TensorFlow, vLLM, SGLang, Hugging Face, Ray, or equivalent technologies. • Familiarity with cloud-native technologies including Kubernetes, Docker, and distributed computing systems. • Experience defining product requirements and executing complex technical roadmaps. • Strong communication, leadership, and stakeholder management skills. • Experience with AI accelerator hardware, GPUs, NPUs, or custom silicon platforms. • Knowledge of LLM serving architectures, optimization techniques, quantization, and distributed inference. • Experience with AI benchmarking and performance analysis. • Familiarity with inference metrics such as TTFT, TPOT, throughput, latency, and scaling efficiency. • Experience working with hyperscale cloud providers and enterprise AI customers. • Background in open-source AI ecosystems and developer communities. • Demonstrated success launching enterprise software or AI infrastructure products. Success Metrics • Delivery of strategic AI software capabilities aligned with customer and business priorities. • Growth of AI ecosystem adoption on Qualcomm platforms. • Successful customer onboarding and production deployments. • Improved AI workload performance, scalability, and developer experience. • Expansion of strategic partnerships across the AI ecosystem. 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 : $181,800.00 - $272,600.00 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 .

Requirements

Must-haves

Qualcomm Technologies, Inc.
Operations Group, Operations Group > Product Management
Develop product requirements based on customer feedback, competitive analysis, industry trends, and business objectives.
Own the strategy and requirements for AI software stacks including: • LLM optimization and deployment tools
Kubernetes and cloud-native AI infrastructure
Model onboarding and validation workflows
Benchmarking and performance analysis tools
Developer experience and ecosystem integration
Customer & Ecosystem Engagement
Engage directly with cloud service providers, enterprises, system integrators, and ISV partners.
Gather requirements and translate customer needs into actionable product plans.
Support proof-of-concepts, customer evaluations, and production deployment initiatives.

Nice-to-haves

Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or related technical field.
Master's degree or PhD in Computer Science, AI/ML, Electrical Engineering, or related field.
Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI inference technologies.
Experience working with AI frameworks such as PyTorch, TensorFlow, vLLM, SGLang, Hugging Face, Ray, or equivalent technologies.
Familiarity with cloud-native technologies including Kubernetes, Docker, and distributed computing systems.
Experience defining product requirements and executing complex technical roadmaps.
Strong communication, leadership, and stakeholder management skills.
Experience with AI accelerator hardware, GPUs, NPUs, or custom silicon platforms.
Knowledge of LLM serving architectures, optimization techniques, quantization, and distributed inference.
Experience with AI benchmarking and performance analysis.
Familiarity with inference metrics such as TTFT, TPOT, throughput, latency, and scaling efficiency.
Experience working with hyperscale cloud providers and enterprise AI customers.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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