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Company: AMD
Location: Canada
Career Level: Mid-Senior Level
Industries: Technology, Software, IT, Electronics

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

Developer Ecosystem Manager

 

THE ROLE: 

AMD is seeking a Product Marketing leader to engage the developer ecosystem and accelerate developer adoption of AMD Pervasive AI products.  Successful candidates will be responsible for enabling the community of machine learning developers, including data scientists, model architects, and application developers.  You will lead a team to create and maintain user facing resources that accelerate user engagement and deployment of machine learning solutions on AMD's AI portfolio of products.  In this capacity, you will help develop the pipeline of applications for the expansion of AMD's Pervasive AI strategy. 

 

You will engage and be a key contributor to industry workshops and events, and in creating and deploying programs such as developer contests and workshops.  Other responsibilities will include creating and maintaining repositories of proof points, reference solutions, and training material that is easily accessible and in relevant formats accustomed to the machine learning community. 

 

As a member of the Developer Acceleration Team within AMD's AI Product Management organization, you will have opportunity to work closely with internal stakeholders across the company as well as engage directly with external customers and partners.  Close interaction with Engineering, Applications, and Customer stakeholders is essential.

 

THE PERSON: 

The type of person who will be successful in this role is growth oriented, and motivated by leading and teaching others to learn. You will exhibit excellent written and verbal communication skills and you will be highly adaptable to working in dynamic environments.  Applicants should possess a BS/MS in EE or equivalent. The position requires comprehensive knowledge of machine learning architectures, models, and developer tools. Prior work experience in accelerated machine learning is required.

 

KEY RESPONSIBILITIES: 

  • Manage the open source community of resources for developers, including creating and maintaining documentation, managing forums, and engaging with contributors
  • Engage the developer community with resources that accelerate targeting products, including creating sample applications, code snippets, and reference architectures that demonstrate the value of our AI products
  • Contribute to industry workshops and events, including presenting our company's technology and engaging with customers and partners to understand their needs
  • Create developer programs like contests, and other initiatives that help drive adoption of our AI products and build a community of developers around our technology
  • Create training materials for workshops, tutorials, and quick start guides that enable developers to quickly get up to speed with our technology and start building applications
  • Manage and maintain the source code repository for examples and proof points, ensuring that code is up to date, well-documented, and easy to use

 

PREFERRED EXPERIENCE: 

  • Experience with machine learning foundation models and applications
  • Experience with Jupyter notebooks and Python script
  • Software build environments, containerized deployments such as virtual environments and Docker
  • Experience with creating, and managing upstream contributions to github repositories
  • Customer training and technical workshops
  • Perl/Python/C++ scripting for test automation

 

ACADEMIC CREDENTIALS: 

  • BS or MS degree in Computer Science, Applied Mathematics, Electrical or Computer Engineering  
  • MBA is plus 

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.


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