Data Center GPU Systems Design Engineer - At Scale Operations

Feb 17, 2024
Austin, United States
... Not specified
... Intermediate
Full time
... Office work


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_




THE ROLE:  

We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. As a key contributor to the success of AMD’s products, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry-leading technologies to market. The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.  

 

The Datacenter Graphics and Accelerated Computing (DCGPU) organization is looking for an experienced at scale ops engineer with experience in automation.  Individual will be part of a team that would be required to create, deploy jobs and be be able to provide information on health checks/reports as well launch/enable code update on systems across the data center.

  

THE PERSON: 

As a Systems Design Engineer, you will drive balanced, scalable, and automated solutions. In this high visibility position, your software systems engineering expertise will be necessary towards Product development, definition, and root cause resolution. 

 

The ideal candidate should have experience in the ability to quickly deploy jobs in a confined methodology across a number of platforms/systems. 

KEY RESPONSIBILITIES:  

  • Driving technical innovation to improve AMD’s capabilities across product development and validation, including tool and script development, technical and procedural methodology enhancement, and various internal and cross-functional initiatives 
  • Code up and manage solutions for At Scale Operations across a Data Center
  • Debugging issues found during the At Scale validation and get to root cause
  • Working with multiple functional teams on requirements and ability to turn that into content
  • Working closely with supporting technical teams 
  • Engage with other automation/exerciser teams on routes to successfully deploy jobs
  • Leading collaborative approaches with multiple teams

  PREFERRED EXPERIENCE:  

  • Minimum 2 to 3 years practical experience in programming automation/at-scale methodologies
  • Programming/scripting skills (e.g., Python - proficient, Shell Script, C/C++, Perl, Ruby
  • Debug techniques and methodologies 
  • Experience with systems and industry tools (including debug)  
  • Knowledge of system architecture, technical debug, and validation strategies
  • ML/AI workload application knowledge - including working in a GPU Validation team

ACADEMIC CREDENTIALS:  

Bachelors or Masters degree in electrical, computer engineering, or computer science

 

LOCATION:

Austin, TX

 

#LI-SL2




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.

THE ROLE:  

We are looking for a dynamic, energetic Systems Design Engineer to join our growing team. As a key contributor to the success of AMD’s products, you will be part of a leading team to drive and improve AMD’s abilities to deliver the highest quality, industry-leading technologies to market. The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.  

 

The Datacenter Graphics and Accelerated Computing (DCGPU) organization is looking for an experienced at scale ops engineer with experience in automation.  Individual will be part of a team that would be required to create, deploy jobs and be be able to provide information on health checks/reports as well launch/enable code update on systems across the data center.

  

THE PERSON: 

As a Systems Design Engineer, you will drive balanced, scalable, and automated solutions. In this high visibility position, your software systems engineering expertise will be necessary towards Product development, definition, and root cause resolution. 

 

The ideal candidate should have experience in the ability to quickly deploy jobs in a confined methodology across a number of platforms/systems. 

KEY RESPONSIBILITIES:  

  • Driving technical innovation to improve AMD’s capabilities across product development and validation, including tool and script development, technical and procedural methodology enhancement, and various internal and cross-functional initiatives 
  • Code up and manage solutions for At Scale Operations across a Data Center
  • Debugging issues found during the At Scale validation and get to root cause
  • Working with multiple functional teams on requirements and ability to turn that into content
  • Working closely with supporting technical teams 
  • Engage with other automation/exerciser teams on routes to successfully deploy jobs
  • Leading collaborative approaches with multiple teams

  PREFERRED EXPERIENCE:  

  • Minimum 2 to 3 years practical experience in programming automation/at-scale methodologies
  • Programming/scripting skills (e.g., Python - proficient, Shell Script, C/C++, Perl, Ruby
  • Debug techniques and methodologies 
  • Experience with systems and industry tools (including debug)  
  • Knowledge of system architecture, technical debug, and validation strategies
  • ML/AI workload application knowledge - including working in a GPU Validation team

ACADEMIC CREDENTIALS:  

Bachelors or Masters degree in electrical, computer engineering, or computer science

 

LOCATION:

Austin, TX

 

#LI-SL2

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