Director – AI Platform Product Manager – Product Marketing
| Company | Qualcomm |
|---|---|
| Location | Santa Clara, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- A minimum of 5 years of product management experience with complex networking platforms
- 5 years of software architecture and development experience
- Bachelor’s Degree in Electrical Engineering or Computer Science (MS or MBA preferred)
- 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
- 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 including OVS, DPDK, etc.
- 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
Responsibilities
- Identifying AI enhanced Wi-Fi 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 Wi-Fi 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 WIN’s software platform life cycle from strategic planning to tactical activities
- Leading AI enhanced Wi-Fi platform product launches and release plans
- Developing key marketing messages around the AI enhanced Wi-Fi platform
- Maintaining subject matter expertise and internally/externally evangelizing AI ecosystems and technical trends that will have a material impact on the WIN business
- Delivering presentations at technical conferences and to customers
Preferred Qualifications
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No preferred qualifications provided.