MTS Software Development Eng.

Oct 19, 2024
San Jose, 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. 

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THE ROLE: 

As a member of the AIG-Sharks team, you will help develop a Python-based DSL (Tk) for high performance kernels on a variety of hardware backends. Whether its matrix multiplication, convolutions, attention or the latest ML operator, your mission is to design the language and develop code generation pipelines that maximize throughput, reduce latency, and ensure we reach the hardware rooflines.

 

THE PERSON: 

We’re seeking a strong compiler and GPU/CPU programming expert who intimately understands the GPU/CPU programming model and core optimization techniques. As a communicator and team player, you’ll collaborate across functions to meet deliverables and drive our future roadmap.

 

KEY RESPONSIBILITIES: 

  • Develop and enhance language functionality to represent variety of different operators
  • Apply compiler transformations and optimizations on fx.graphs
  • Develop MLIR lowerings for operators from fx.graphs
  • Add support for new hardware backends
  • Optimize kernels to achieve peak performance
  • Collaborate with rest of the team in defining the roadmap for language

 

PREFERRED EXPERIENCE: 

  • Expert knowledge and hands-on experience in C, C++ and Python 
  • 5+ years in compiler development
  • Experience with IREE, MLIR and LLVM
  • Proficiency in writing high performance kernels for GPUs (in CUDA, HIP, SPIRV etc)
  • Experience with distributed computation and communication primitives

 

ACADEMIC CREDENTIALS: 

  • Master’s or doctorate degree in Computer/Software Engineering, Computer Science, or related technical discipline 

  • #LI-G11 

     

    #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.

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: 

As a member of the AIG-Sharks team, you will help develop a Python-based DSL (Tk) for high performance kernels on a variety of hardware backends. Whether its matrix multiplication, convolutions, attention or the latest ML operator, your mission is to design the language and develop code generation pipelines that maximize throughput, reduce latency, and ensure we reach the hardware rooflines.

 

THE PERSON: 

We’re seeking a strong compiler and GPU/CPU programming expert who intimately understands the GPU/CPU programming model and core optimization techniques. As a communicator and team player, you’ll collaborate across functions to meet deliverables and drive our future roadmap.

 

KEY RESPONSIBILITIES: 

  • Develop and enhance language functionality to represent variety of different operators
  • Apply compiler transformations and optimizations on fx.graphs
  • Develop MLIR lowerings for operators from fx.graphs
  • Add support for new hardware backends
  • Optimize kernels to achieve peak performance
  • Collaborate with rest of the team in defining the roadmap for language

 

PREFERRED EXPERIENCE: 

  • Expert knowledge and hands-on experience in C, C++ and Python 
  • 5+ years in compiler development
  • Experience with IREE, MLIR and LLVM
  • Proficiency in writing high performance kernels for GPUs (in CUDA, HIP, SPIRV etc)
  • Experience with distributed computation and communication primitives

 

ACADEMIC CREDENTIALS: 

  • Master’s or doctorate degree in Computer/Software Engineering, Computer Science, or related technical discipline 

  • #LI-G11 

     

    #LI-HYBRID

 

 

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