Embedded AI Software Product Manager

About the position

You will own AMD's AI software tooling for embedded devices. You will drive the roadmap for features and user flow for Vitis AI targeting our portfolio of Adaptive SoCs. You will also work with the Ryzen AI client team to define special needs for embedded x86 applications. We are also looking for someone to lead and grow the team over time.

Responsibilities

• Define and prioritize features and model support for Vitis AI.
• Gather requirements from all sources, including customers, sales, market segment architects, applications engineers and technical marketing teams.
• Work directly with customers to understand customer pain points from a user flow perspective and work with R&D to deliver compelling solutions.
• Prioritize requirements to deliver maximum impact to our customer base.
• Collaborate with market segment architects and business leads to deliver high value roadmap capabilities.
• Evangelize the tool's capabilities at tradeshows, conferences, and in direct customer meetings.
• Support applications teams and technical marketing in creating reference designs and customer facing collateral.
• Work closely with Vivado, Vitis and Vitis AI Tools, IP, system software, and boards marketing and marketing teams to support customers and drive deliverables as part of the overall solution plan for existing and next generation embedded silicon devices.
• Interface with product marketing and engineering teams to prioritize and align solution deliverables during release planning processes.
• Support customers using the Vitis AI and other tools for Machine Learning applications.
• Present solution progress updates to executive and deliver solution, silicon, and customer application presentations to internal marketing and engineering teams.
• Drive solution deliverables to support machine learning applications in FPGA and SOC product families.

Requirements

• Tenured industry experience with Machine Learning programming, optimization and debug techniques.
• Proficient industry experience with Embedded software programming, optimization and debug techniques.
• Ability to understand how to map emerging applications in Artificial Intelligence, Machine learning, Vision Processing and Autonomous Driving to a broad set of applications from traditional FPGA centric applications such as Automotive, Aerospace and Defense and Industrial and Healthcare.
• Have experience with FPGA and Adaptive SoC products and exposure to Vivado, Vitis and Vitis AI design tools, or competitive equivalents.
• Have experience with system level analysis, such as interface and memory bandwidth, as well as compute and dataflow analysis.
• Have experience with some or all of the following ML networks for embedded applications: CNNs, RNNs, MPLs, GNNs and Transformer.
• Ability to break down large complex problems into manageable deliverables and be able to manage and prioritize requirements from many stakeholders.

Benefits

• AMD benefits at a glance.