WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
AI – GPU System Architect
THE TEAM:
AMD’s Data Center GPU organization is transforming the industry with our AI based Graphic Processors. Our primary objective is to design exceptional products that drive the evolution of computing experiences, serving as the cornerstone for enterprise Data Centers, (AI) Artificial Intelligence, HPC and Embedded systems. If this resonates with you, come and joining our Data Center GPU organization where we are building amazing AI powered products with amazing people.
The Role:
As an AI – GPU Systems Architect, you will be the technical leader responsible for creating AMD’s future accelerated computing platforms. You will interact with other key AMD engineering teams such as silicon design, packaging, signal integrity, platform validation, manufacturing, and operations. You will also help to assess and integrate strategic technologies such as network architectures, advanced memories, high speed interconnects, power delivery technologies, and cooling solutions into AMD’s accelerated processing platforms. To be successful in the role, a candidate will also play a critical role in interacting with and influencing senior technical leaders in the industry from technology providers, system partners, and HPC / AI customers.
The Person:
The AI – GPU Systems Architect will have excellent communication skills, planning skills, technical expertise, is a team player, possesses broad technical leadership skills` and critical problem solving and trouble shooting skills, is a self-starter and is well organized. They will be market savvy and comfortable in a multi-tasking environment.
Qualifications:
The AI – GPU Systems Architect will be responsible for leading multi-discipline teams in platform architecture and definition. The successful candidate will have complex platform architectures from component to rack scale design.
Preferred Experience:
The AI – GPU Systems Architect must have demonstrated the ability to be a constant force for innovation and improvement throughout their career. The successful candidate must have experience as a technical leader in leading-edge technology development.
Academic Credentials:
BS in Electrical Engineering is required. An advanced Engineering degree (MS or Ph.D.) would be an added plus.
Location:
Santa Clara, CA or Austin, TX
#LI-DKDAMD1
#LI-HYBRID
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.
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.
We are now looking for a Senior Deep Learning Performance Architect! NVIDIA is seeking outstanding Performance Analysis Architects to help...
How to applyJob Description Job Description: As an AI/ML Infrastructure Engineer on the GPU Strategic Customers Engineering team, you will play a...
How to applyAbout FullStack The Position What We Are Looking For Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Machine...
How to applyDescription: As a Machine Learning Architect at GlobalLogic, you will be responsible for leading the design and implementation of our...
How to applyFor decades we at NXP have been developing innovative microchips as a world market leader that can be found almost...
How to applyOur vision is to transform how the world uses information to enrich life for all. Micron Technology is a world...
How to apply