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.
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GPU Customer Performance Champion
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:
In this role you will be responsible for creating solutions to the most challenging performance problems that AMD’s customers face in deploying cutting
edge AI and HPC workloads on MI GPUs. You will understand the customer’s performance requirements, find solutions to their problems, and get those
solutions implemented, ensuring AMD’s MI GPUs exceed the customer’s performance expectations.
THE PERSON:
Passionate about solving real-world datacenter GPU performance problems. You like to get your hands dirty solving actual performance problems in
massive deployments of datacenter GPUs. The successful candidate for this role loves performance optimization and the challenge of unsolved problems,
they are a precise and able communicator, effective influencer, and an expert at low-level machine learning workload performance.
KEY RESPONSIBILITIES:
Represent AMD in technical performance discussions with customers who are creating large scale datacenter GPU deployments.
Gather customer performance requirements, use these requirements to drive prioritization and strategic direction of AMD’s performance engineering
activities.
Analyze, debug and root cause the most difficult customer performance problems that no one else can solve.
Use your understanding of customer priorities together with your machine learning workload expertise to prioritize the performance engineering work
across multiple technical teams.
Provide guidance and oversight to multiple teams of engineers to solve a diverse array of time-bound technical problems across all aspects of the systems
being deployed.
Drive analysis and optimization of key machine learning workloads based on customer feedback.
Identify competitive performance gaps and drive solutions by working with architects and engineers across all domains of the product including hardware,
software, and firmware.
Use your machine learning expertise to identify strategic domains of focus that will lead to competitive performance advantages for AMD’s graphics
products and work across engineering domains to drive these solutions into products.
PREFERRED EXPERIENCE:
Experience working directly with companies creating large scale datacenter GPU deployments.
Machine learning workload expert
GPU performance expert
Demonstrated effective communication skills
ACADEMIC CREDENTIALS:
Bachelors, Masters, or PhD degree in Electrical Engineer, Computer Engineering, Computer Science or a closely related field
Masters or PhD with emphasis on Computer Architecture performance studies preferred
Location:
Santa Clara, CA
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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.
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.
GPU Customer Performance Champion
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:
In this role you will be responsible for creating solutions to the most challenging performance problems that AMD’s customers face in deploying cutting
edge AI and HPC workloads on MI GPUs. You will understand the customer’s performance requirements, find solutions to their problems, and get those
solutions implemented, ensuring AMD’s MI GPUs exceed the customer’s performance expectations.
THE PERSON:
Passionate about solving real-world datacenter GPU performance problems. You like to get your hands dirty solving actual performance problems in
massive deployments of datacenter GPUs. The successful candidate for this role loves performance optimization and the challenge of unsolved problems,
they are a precise and able communicator, effective influencer, and an expert at low-level machine learning workload performance.
KEY RESPONSIBILITIES:
Represent AMD in technical performance discussions with customers who are creating large scale datacenter GPU deployments.
Gather customer performance requirements, use these requirements to drive prioritization and strategic direction of AMD’s performance engineering
activities.
Analyze, debug and root cause the most difficult customer performance problems that no one else can solve.
Use your understanding of customer priorities together with your machine learning workload expertise to prioritize the performance engineering work
across multiple technical teams.
Provide guidance and oversight to multiple teams of engineers to solve a diverse array of time-bound technical problems across all aspects of the systems
being deployed.
Drive analysis and optimization of key machine learning workloads based on customer feedback.
Identify competitive performance gaps and drive solutions by working with architects and engineers across all domains of the product including hardware,
software, and firmware.
Use your machine learning expertise to identify strategic domains of focus that will lead to competitive performance advantages for AMD’s graphics
products and work across engineering domains to drive these solutions into products.
PREFERRED EXPERIENCE:
Experience working directly with companies creating large scale datacenter GPU deployments.
Machine learning workload expert
GPU performance expert
Demonstrated effective communication skills
ACADEMIC CREDENTIALS:
Bachelors, Masters, or PhD degree in Electrical Engineer, Computer Engineering, Computer Science or a closely related field
Masters or PhD with emphasis on Computer Architecture performance studies preferred
Location:
Santa Clara, CA
#LI-RL1
#HYBRID
Santa Clara, Cuba
Not specified
Intermediate
Office work
