Mobile BU AI Product Management Director

Company:

Qualcomm Technologies, Inc.

Job Area:

Operations Group, Operations Group > Product Management

General Summary:

Directs a comprehensive product strategy with emphasis on hardware and software capabilities for artificial intelligence (AI) within the Mobile Business Unit. The Mobile BU at Qualcomm delivers the industry-leading Snapdragon platform that powers the world's best smartphones. Functions as a central resource with design, process, manufacturing, quality, test, marketing, and distribution as the product(s) and/or product line(s) move through their lifecycle. Promotes the use of new technologies and industry-leading trends. Directs those involved in the design, modification, and evaluation of all phases of a specific product or group of products. Involvement lasts throughout all stages of a product’s lifecycle, including modifications, upgrades, and maintenance of the product or product line.

***MANDARIN SPEAKING A PLUS***

 

Level of Responsibility:

·        Working independently with no supervision.

·        Making decisions that are significant in impact, influencing overall program or project success, finances, and/or the ability to meet objectives; errors are not readily apparent due to the complexity of work process/product or time between decisions and results; errors typically result in significant expenditure of time, resources, and funds to correct.

·        Using verbal and written communication skills to convey complex and/or detailed information to multiple individuals/audiences with differing knowledge levels. Role may require strong negotiation and influence, communication to large groups or high-level constituents.

·        Some financial accountability (e.g., manages a small budget, has input into P&L).

·        Having a great degree of influence over key organizational decisions (e.g., is making or directly making key decisions that have substantial impact on the organization).

·        Completing tasks that require multiple steps that can be performed in various orders; tasks require simultaneously executing multiple cognitive abilities and maintaining information in short- or long-term memory.

·        Regularly determines what needs to be done and is involved with sharing innovative solutions to achieve broad policies and objectives.

·        Using deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem; often information is missing or conflicting; advanced data analysis and interpretation skills are required.

·        Develops, redesigns organizational strategies and provides overall direction for various functional areas and/or entire organization. Has influence over the formulation and achievement of long-term business plans and objectives.

 

Minimum Qualifications:

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

Preferred Qualifications:

·        10+ years of Product Management or engineering development experience in the smartphone ecosystem, particularly with Android.

·        Solid understanding of machine learning (ML) models and inferencing techniques on CPU, GPU, or NPU.

·        Exposure to working and implementing generative AI is a strong plus.

·        Hands-on knowledge of one or more of the following: drivers, compilers, low-level firmware, middleware, and tools.

·        In-depth understanding of consumer, commercial, enterprise software products, APIs, use cases, user experience, performance/power consumption, etc.

·        Ability to drive system-level analysis of AI models and understand associated tradeoffs on model size, performance, accuracy/quality, power.

·        Direct experience with OEMs, OS vendors, ISVs, open source community, and product sustenance.

·        Exposure to Apple's iOS and experience with Android is strongly preferred. An understanding of the worldwide OEM smartphone ecosystem is strongly desired.

Principal Duties and Responsibilities:

·        Strong understanding of the challenges and best practices of deploying AI/ML systems at scale along with MLOPS space.

·        Deep knowledge of neural network algorithms, trends in the ML space, and challenges associated with deployment.

·        Experience training and/or deploying deep learning applications across CPU, GPU, and NPU engines.

·        Experience in Cloud or on-device AI design would be a strong plus.

·        Execution-oriented and track record of driving on-time deliverables to customers with aggressive schedules.

·        Strong communication and presentation skills.

·        Passion to evangelize disruptive new technologies.

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:

$196,000.00 - $294,000.00

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.