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_

• Machine Intelligence GPU Architect

   

  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, machine intelligence, graphics, and visualization technologies – the building blocks for the data center, immersive platforms, visualization, and gaming applications.   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 look at the opportunities available and come join our team.

   

  THE MISSION:

  • Enable AMD to sell GPUs with AI capabilities to exceed and displace primary competitive solutions
  • Create powerful leading system platforms for emerging AI solutions and gain widespread market adoption among AI practitioners.
  • Partner with AI practitioners for use case development and market demand generation

   

  THE ROLE: GPU MI Architect   

  • Drive internal hardware/software co-design to results in implementations meeting requirements with high performance data processing and /or rendering systems. 
  • Along with driving software and hardware architecture requirements for today's industry leading GPU applications, you will interact with internal architects to generate systems that solve needed problems necessary to drive AMD sales of AI/HPC/Gaming hardware.

   

  THE PERSON:

  • Strong analytical thinking and problem-solving skills, excellent attention to detail, good coding skills are required.
  • Experience with the application of Machine Intelligence to real world problems, familiarity and use of current frameworks, software stacks
  • Experience with innovative research a forward looking 2-5 years
  • Proficient in English verbal and written communication skills
  • Demonstrated teamwork and interpersonal skills

   

  KEY RESPONSIBILITIES:

  • Contribute on new conceptual programming models and/or hardware MI architectures

  • Develop key use case scenarios for the use of AMD hardware and software in GPU MI markets

  •  

    Find new algorithms, or adaptations to existing algorithms, that will enable new ground-breaking capabilities with AMD HW/SW implementation
  • Analyze graphics and compute algorithms to identify performance limiters of hardware or software on pre-silicon and post silicon hardware
  • Implement and test architecture and specifications, to assure correctness and consistency with the algorith
  • Work with software, hardware, and architecture implementation teams to identify issues and improve performance

   

  PREFERRED EXPERIENCE:

  • At least 4 years’ experience in architectural roles
  • Knowledge with hands on experience of key ML frameworks (TF, Pytorch, ..) and applications, optimizing performance of AI training/inference applications
  • Deep understanding of accelerator hardware microarchitecture, performance analysis and debugging
  • Up to date with ML literature, ready to guide where things may be going
  • Understanding how to optimize systems/solutions from an end-to-end customer TCO perspective: performance, power, cost, area, reliability, etc.
  • Ability to estimate performance of key workloads on specific architectures
  • Application of MI techniques to game, PC, server, or data center use cases
  • GPU driver architecture and GPU graphics programming knowledge
  • Strong programming skills in C or C++
  • Scripting language (Python, Perl) knowledge and UNIX/Linux experience is required
  • D3D, Vulcan and OpenGL graphics application knowledge and experience is a plus.
  • OpenCL/CUDA/ROCm development experience is a plus

   

  ACADEMIC CREDENTIALS:

  •  PHD Preferred

#LI-PU1

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.

• Machine Intelligence GPU Architect

   

  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, machine intelligence, graphics, and visualization technologies – the building blocks for the data center, immersive platforms, visualization, and gaming applications.   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 look at the opportunities available and come join our team.

   

  THE MISSION:

  • Enable AMD to sell GPUs with AI capabilities to exceed and displace primary competitive solutions
  • Create powerful leading system platforms for emerging AI solutions and gain widespread market adoption among AI practitioners.
  • Partner with AI practitioners for use case development and market demand generation

   

  THE ROLE: GPU MI Architect   

  • Drive internal hardware/software co-design to results in implementations meeting requirements with high performance data processing and /or rendering systems. 
  • Along with driving software and hardware architecture requirements for today's industry leading GPU applications, you will interact with internal architects to generate systems that solve needed problems necessary to drive AMD sales of AI/HPC/Gaming hardware.

   

  THE PERSON:

  • Strong analytical thinking and problem-solving skills, excellent attention to detail, good coding skills are required.
  • Experience with the application of Machine Intelligence to real world problems, familiarity and use of current frameworks, software stacks
  • Experience with innovative research a forward looking 2-5 years
  • Proficient in English verbal and written communication skills
  • Demonstrated teamwork and interpersonal skills

   

  KEY RESPONSIBILITIES:

  • Contribute on new conceptual programming models and/or hardware MI architectures

  • Develop key use case scenarios for the use of AMD hardware and software in GPU MI markets

  •  

    Find new algorithms, or adaptations to existing algorithms, that will enable new ground-breaking capabilities with AMD HW/SW implementation
  • Analyze graphics and compute algorithms to identify performance limiters of hardware or software on pre-silicon and post silicon hardware
  • Implement and test architecture and specifications, to assure correctness and consistency with the algorith
  • Work with software, hardware, and architecture implementation teams to identify issues and improve performance

   

  PREFERRED EXPERIENCE:

  • At least 4 years’ experience in architectural roles
  • Knowledge with hands on experience of key ML frameworks (TF, Pytorch, ..) and applications, optimizing performance of AI training/inference applications
  • Deep understanding of accelerator hardware microarchitecture, performance analysis and debugging
  • Up to date with ML literature, ready to guide where things may be going
  • Understanding how to optimize systems/solutions from an end-to-end customer TCO perspective: performance, power, cost, area, reliability, etc.
  • Ability to estimate performance of key workloads on specific architectures
  • Application of MI techniques to game, PC, server, or data center use cases
  • GPU driver architecture and GPU graphics programming knowledge
  • Strong programming skills in C or C++
  • Scripting language (Python, Perl) knowledge and UNIX/Linux experience is required
  • D3D, Vulcan and OpenGL graphics application knowledge and experience is a plus.
  • OpenCL/CUDA/ROCm development experience is a plus

   

  ACADEMIC CREDENTIALS:

  •  PHD Preferred

#LI-PU1