ML Framework Software Development Engineer - Generative AI

Key Skills

Aartificial intelligence, CUDA kernels, Generative AI, GPUs, Machine learning techniques, Natural Language Processing (NLP), OpenCL, Software Development

Job Description

We are looking for a new graduate who is passionate about building and optimizing deep learning applications and machine learning frameworks. Be a part of an AMD development team and the open-source community to design, develop, test and deploy improvements to make us the best platform for generative artificial intelligence and deep neural networks. Incredibly talented industry specialists.

THE PERSON:

The ideal candidate has strong technical and analytical skills in high performance C++. Able to communicate effectively and work optimally with different teams across AMD. Experience in tensor libraries or machine learning execution engines is a plus.

KEY RESPONSIBILITIES:

• Optimize key deep learning models on AMD GPUs
• Develop and finetune inference and serving engines for large language models.
• Collaborate with AMD’s architecture specialists to improve future products.
• Collaborate with operator libraries team to analyze and optimize training and inference for deep learning.
• Work in a distributed computing setting to optimize for both scale-up (multi-accelerator) and scale-out (multi-node) systems.
• Optimize the entire deep learning pipeline including graph compiler integration.
• Participate in new ASIC and hardware bring ups.
• Apply your knowledge of software engineering best practices.

PREFERRED EXPERIENCE:

• Ability to work independently, define project goals and scope, and lead your own development effort.
• Deep Learning experience or knowledge - Natural Language Processing, Vision, Audio, Recommendation systems
• Programming in High-Performance Domain-Specific Languages for GPU or ML ASIC Computing (HIP, CUDA, OpenCL, Triton, KNYFE, Mojo)
• Using debuggers (LLDB, GDB) and profilers on heterogeneous hardware
• PyTorch or TensorFlow
• Familiarity with ML Graph Compilers (Glow, FX, XLA) is a plus
• Knowledge of the lower levels of typical ML workflows from MLIR to LLVM all the way down to assembly language(s) is a plus.

ACADEMIC CREDENTIALS:

• Bachelor's or Master’s in Computer Science, Computer Engineering or related fields

LOCATION: Austin, Texas

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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.