AI Performance Engineer

2 weeks ago

San Jose, California, United States AMD Full time

About AMD:

At AMD, we are committed to transforming lives through our innovative technology. Our mission is to deliver exceptional products that enhance computing experiences across various domains, including data centers, artificial intelligence, personal computing, gaming, and embedded systems. We foster a culture of innovation, striving to address significant global challenges while promoting collaboration, humility, and diverse perspectives.

Position Overview:

This role is integral to our efforts in large-scale AI acceleration. You will be responsible for developing advanced tools and methodologies aimed at optimizing system performance for AI tasks on Ryzen AI SoC. Your work will involve exploring innovative optimization techniques to enhance state-of-the-art AI models, particularly in vision, language, and generative applications, while collaborating with leading engineers from AMD's CPU, GPU, and Adaptable Compute teams.

Key Responsibilities:

  • Design and implement tools for analyzing AI workloads and optimizing their mapping to AI accelerators.
  • Work collaboratively with various teams to improve components of the software stack, including AI compilers, frameworks, device drivers, and firmware.
  • Conduct experiments to refine data movement strategies and tiling techniques for the latest AI models, including generative AI.
  • Engage with cross-functional teams to establish requirements for backend libraries, compilers, and toolchains that facilitate AI model acceleration on AMD platforms.

Qualifications:

  • Strong understanding of AI and machine learning principles, with practical experience applying these concepts in research or professional environments.
  • Knowledge of how different compute, memory, and communication configurations impact AI acceleration, along with hardware and software implementation choices.
  • Experience in coding and optimizing for VLIW processors, with a focus on high-performance operations such as CONV, GEMM, and non-linear computations.
  • Familiarity with AI frameworks, especially ONNX.
  • Experience with AI/ML inference stacks, including ONNXRuntime.
  • Prior experience with GPU acceleration, utilizing either AMD or Nvidia GPUs.
  • Ability to collaborate effectively using version control systems, such as git.
  • Proficient in benchmarking methodologies and debugging tools.
  • Excellent communication and problem-solving skills.

Educational Background:

  • A Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Compensation and Benefits:

At AMD, your compensation package includes various elements tailored to your skills, qualifications, and experience. You may also be eligible for performance-based incentives and stock ownership opportunities through our Employee Stock Purchase Plan, along with competitive benefits.

AMD is an equal opportunity employer, committed to inclusivity and welcoming applications from all qualified individuals. We accommodate applicants' needs in accordance with applicable laws throughout the recruitment process.

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