Company:
- ------------
- -------------
- Identifying AI enhanced FWA platform use cases and business plans.
- Working with SoC product managers to specify feature requirements.
- Assisting the engineering teams in the specification, development, and creation of new AI. enhanced FWA platform features to ensure they become successful.
- Driving an extensive ecosystem of third\-party AI application developers leveraging the Qualcomm platform.
- Identifying and specifying AI application SoC and platform software integration requirements.
- Identifying and specifying AI workload orchestration requirements.
- Defining AI model training strategy both compute and data lake architecture requirements.
- Defining scalable AI model optimization strategy for mission mode inference.
- Managing the AI application integration into WBC’s software platform life cycle from strategic planning to tactical activities.
- Leading AI enhanced FWA platform product launches and release plans.
- Developing key marketing messages around the AI enhanced FWA platform.
- Maintaining subject matter expertise and internally/externally evangelizing AI ecosystems and technical trends that will have a material impact on the WBC business
- Delivering presentations at technical conferences and to customers.
- Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
- 5\+ years of Product Management or related work experience.
- Experience with deep learning frameworks, including but not limited to TensorFlow, PyTorch, Caffe, Keras, etc.
- Strong edge compute ecosystem experience, including public/private cloud, carrier central office, on premise, and on device.
- Strong compute, network, and storage virtualize ecosystem experience.
- Exceptional communication skills with an ability to quickly establish credibility and positive influence across a diverse array of technical teams in multiple geographies.
- Understanding of Cellular Radio Access Technologies (2G/3G/4G/5G)
- Experience working with RDMA/TCP/UDP/IP/802\.3/802\.11x protocols and working with drivers from various wireless vendors.
- Experience working with Linux networking data path tools and processor offload architectures.
- Experience working with networking data path services including packet filtering, QoS, packet classification, DPI, firewall, wireless IDS/IPS, traffic and application visibility, network instrumentation and telemetry.
- Experience with managing/designing software that can support proprietary and open\-source initiatives efficiently.
- Experience with managing/designing software applications that can run across multiple platforms.
- Experience with managing/designing software for reuse.
- Experience with software modularization/test methodologies.
Qualcomm Technologies, Inc.
Job Area:
Operations Group, Operations Group \> Product Management
General Summary:
As a market leader in fixed wireless access (FWA) broadband solutions Qualcomm has been instrumental in providing connectivity to devices in homes, industries, small businesses, large enterprises, and public venues through Cellular, LAN and WLAN protocols. As new applications and IoT devices leverage the platform’s seamless network access capabilities the demands for continuous efficiency and performance improvements have never been greater and the diversity of the markets serviced have never been broader. During this era of rapid connectivity evolution, the growth of data being sent over the internet and between devices has grown dramatically and AI has emerged as a proven effective processing technique for analyzing this data. With the rapid advances being made today in AI processing techniques next generation FWA platforms will enable network operators to offer services never thought possible that include security, image processing, intent drive networking, complex analytics, and personal digital assistant applications. Additionally, AI applications will drive levels of network efficiency and performance to unprecedented levels enabling FWA platforms to service applications that demand low latency and high bandwidth all while accommodating the rapid endpoint growth being driven by IOT, and smart home/business solutions and providing service providers with additional revenue generating models.
Evolving the traditional FWA broadband solution into an AI enhanced FWA platform solution presents the opportunity to truly drive the transformation of how FWA platforms are architected, provisioned, and used. As a Staff AI Platform Product Manager for Qualcomm’s Wireless Broadband and Connectivity (WBC) business you will define and drive a comprehensive AI platform strategy that enhances the features, performance, and revenue generating opportunities in our carrier and enterprise markets.
In this role you will work closely with geographically dispersed engineering, marketing, and sales teams to define the WBC’s AI platform strategy. Additional responsibilities include:
Minimum Qualifications:
Preferred Qualifications:
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 .