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Responsibilities

THE ROLE:

The software Technical Marketing team is looking for someone to lead a team to drive features, methodology and collateral around the software development flow for machine learning applications. 

THE PERSON:

We are looking for a highly motivated and skilled Machine Learning and AI Technical Marketing Engineer with experience in system design, as well as FPGA and Embedded software Tools, to scale the teams’ ability to deliver customer focused solutions for current and next generation AECG Platforms.  Candidates should have a desire to deliver solution that enable customers to accomplish their goals, be self-motivated, possess the ability to work well within a distributed team environment and have the ability to easily communicate technical concepts in simple terms.

Key Responsibilities:

• Collaborate with market segment architects and business leads to create customer focused machine learning and signal processing applications in solutions to address the complex needs of customers in Aerospace and Defense, Automotive, Wired and Wireless Networks, Test and Measurement, Medical, Industrial and Vision markets, and Audio Video Broadcasting.
• 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 signal processing and machine learning applications in FPGA and SOC product families.

Preferred Experience:

• 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 a broad set of applications from traditional FPGA centric applications such as Wired and Wireless Communications, Aerospace and Defense and general Digital Signal Processing and to emerging applications in Artificial Intelligence, Machine learning, Vision Processing and Autonomous Driving.
• Have experience with FPGA and Adaptive SoC products and exposure to Vivado, Vitis and Vitis AI design tools.
• 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.
• Thrive in a fast-paced environment at the forefront of new technology and invention.
• Beneficial to have Project Management experience, excellent organizational skills, and a process-oriented mindset.

Academic Credentials:

• BS/MS/PhD in CS/CE/EE with relevant industry experience

LOCATION: Ottawa, ON or Markham, ON

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Qualifications

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.