Datacenter GPU Platform Performance Engineer

Advanced Micro Devices, Inc.
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Job Description


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_

Datacenter GPU Platform Performance Engineer


As part of our team, you'll be responsible for ensuring that AMD Instinct GPU-accelerated systems are operating at peak performance before being deployed to solve the world's most challenging problems. We're looking for a highly motivated candidate with expertise in GPU performance and familiarity with performance monitoring and tuning tools. The ideal candidate should also possess data science and communication skills to effectively convey their findings to engineering and business teams.

We value curiosity and innovation, and we're committed to providing a challenging and supportive environment where you can learn and grow. As you collaborate with your peers, you'll have the opportunity to make a real impact and contribute to our organization's success. We're looking for someone who's passionate about improving their skills and constantly seeking new ways to drive performance and efficiency. If you're passionate about performance engineering and want to make a real impact with customers deploying the latest AI breakthroughs, we encourage you to apply. 


  • Define performance suite and best practices for measuring GPU-accelerated workloads to assess scalability and efficiency of AI models and algorithms
  • Benchmark and analyze AI workloads in single and multi-node configurations comparing against previous generations and our competitors
  • Perform comprehensive performance analysis and report findings for the entire platform including GPU, CPU, interconnects, network, software stack, etc.
  • Identify performance bottlenecks that impact data center GPU-accelerated workloads, tune and collaborate with other software teams to improve performance
  • Stay up to date with emerging technologies and trends and explore ways to improve the performance of GPU-accelerated workloads at scale


  • Solid knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts and techniques, including deep learning, reinforcement learning, natural language processing, generative AI, and computer vision, as well as practical experience applying these concepts to solve real-world problems through research or work experience
  • Experience in benchmarking methodologies, performance analysis, workload profiling, performance monitoring and debugging tools
  • Advanced Linux OS, container (e.g. Docker) and GitHub skills
  • Programming skills in a variety of relevant languages such as Python or C/C++
  • Expertise with deep learning frameworks like PyTorch and TensorFlow
  • Knowledge and interest in computer and GPU architecture
  • In-depth knowledge of GPU acceleration with either AMD or Nvidia GPU compute products
  • Inquiring mind, excellent problem-solving skills, and automation mindset


  • BS./M.S./PhD in Computer Science or Engineering or similar field

Company Info.

Advanced Micro Devices, Inc.

Advanced Micro Devices, Inc. (AMD) is an American multinational semiconductor company based in Santa Clara, California, that develops computer processors and related technologies for business and consumer markets. While it initially manufactured its own processors, the company later outsourced its manufacturing, a practice known as going fabless, after GlobalFoundries was spun off in 2009. AMD's main products include microprocessors, motherboard

  • Industry
    Artificial intelligence,Video games,Semiconductors,Computer hardware
  • No. of Employees
  • Location
    Santa Clara, CA, USA
  • Website
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