Machine Learning Manager, Software Engineering - 149743

Location: Austin, Texas, US

Company: Advanced Micro Devices

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What you do at AMD changes everything 
 

At AMD, we push the boundaries of what is possible.  We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies – building blocks for gaming, immersive platforms, and the data center. 
 

Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile” to achieve unthinkable results.  It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world.   If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.
 

Machine Learning Manager, Software Engineering

THE ROLE:

RTG is looking for visionary leaders to build a team that develop and optimizing Machine Learning system software for AMD GPU compute platforms. The candidate will drive a team that work as part of AMD Machine Learning Software Engineering (MLSE) organization and open-source community to plan, analyze, develop, and deploy improvements to make AMD the best platform for machine learning applications.

THE PERSON:

Our ideal candidate will possess advanced software machine learning expertise with a track record of success within the industry.  You have demonstrated credibility as an expert in your field, with both internal and external stakeholders and customers. You have experience leading global teams in a matrixed environment, and strong communication, influencing and leadership skills.

 

KEY RESPONSIBILITIES:

  • Leading a distributed team to optimize deep learning frameworks like TensorFlow, PyTorch, etc. on AMD GPUs and future data center products
  • Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for deep learning
  • Work with open-source framework community to understand their requirements – and have the AMD GPU features integrated upstream
  • Establishing efficient automated test processes and critical quality metrics
  • Contributing to high-level strategic decisions with product, engineering, and executive teams
  • Lead the engineering team to optimize the entire deep learning pipeline
  • Driving and facilitating planning, scheduling, and execution of projects
  • Working with customers to explain technical concepts and implementation impacts
  • Apply your knowledge of software engineering best practices

 

PREFERRED EXPERIENCE:

  • Solid knowledge of software fundamentals especially in Deep Learning, High Performance Computing or GPU Server Based computing
  • Consistent record in engineering execution, delivery software on time with high quality and achieving premium high-performance software solutions
  • Experience building and leading large global software engineering teams
  • Strong Interpersonal, verbal, and written skills
  • Experience leading multiple projects with competing priorities
  • Solid understanding of C/C++ Programming and Linux Operating System internals and server system architecture
  • Background with Agile project methodologies
  • Passionate about automated testing
  • Familiarity with various deployment models including cloud, virtualization and containers
  • Self-motivated with an ability to multi-task

 

ACADEMIC CREDENTIALS:

  • Masters or PhD or equivalent experience in Computer Science, Computer Engineering, or related field.
  • 3+ years' engineering management and 5+ years' software development

 

LOCATION:

Austin, TX

Santa Clara, CA


 

#LI-JG1

 


Requisition Number: 149743 
Country: United States State: Texas City: Austin 
Job Function: Design
  

Benefits offered are described here.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers. We consider candidates regardless of 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. Please click here for more information.

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