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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 highperformance 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.
GPU ML Performance Architect
The Role:
AMD is looking for an individual to join GPU architecture team to work on next generation GPU architecture for machine learning acceleration. The job includes architecture modeling and developing Deep Learning GPU kernels for architecture exploration and performance projection.
The Person:
The successful person will be an experienced GPU architect or GPUcompute/graphics programmer with an eye towards hardwareaware performance optimizations.
Key Responsibilities:
The ideal candidate will be responsible for architecture modeling and writing high performance GPU kernels for Machine Learning applications to run on AMDs next generation GPU.
Preferred Experience:
Academic Credentials:
Masters PhD or 5 years industry experience in relevant field (CS EE CE)
Location:
Santa Clara CA; Orlando Florida
#LIPA1
Requisition Number:112841
Country:United StatesState:CaliforniaCity:Santa Clara
Job Function:Design
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.
Full-Time