Mobile BU AI Product Management Director
Company: Qualcomm
Location: San Diego
Posted on: October 30, 2024
Job Description:
Company:Qualcomm Technologies, Inc.Job Area:Operations Group,
Operations Group > Product ManagementGeneral 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.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.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 or call Qualcomm's toll-free
number found . 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.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 - $294,000.00The 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 .If you would
like more information about this role, please contact .
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Keywords: Qualcomm, Diamond Bar , Mobile BU AI Product Management Director, IT / Software / Systems , San Diego, California
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