Senior AI ML Compiler Developer

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

SOFTWARE DEVELOPMENT ENGINEER 2

The Role

AMD is looking for an influential software engineer role to enable AI acceleration at scale. You will be a member of the core team, working on developing ML tools and methodologies to optimize and realize full system performance for AI workloads on Ryzen AI SoC. Working on the latest AI models addressing vision, language, and generative models, working with the leading engineers in AMD’s CPU, GPU, and Adaptable Compute team

Key Responsibilities

• Contribute to the development and maintenance of AMD's AI compilers, and runtime.
• Consistently research and implement methods to improve performance of our solutions.
• Stay informed of software and hardware trends and innovations, especially pertaining to ML algorithms and architectures.
• Optimizing current system and research alternative, more efficient ways for same goals.
• Develop technical relationships with peers and partners.
• Work with AMD’s architecture specialists to improve future products.
  
  
  

• Strong object-oriented programming background, C/C++ preferred with 2+ years of industry experience
• Good understanding of object-oriented design principles
• Good understanding of Software Engineering principles, Data structure, algorithms, Operating Systems concepts and multithread programming
• Ability to write high quality code with a keen attention to detail.
• Knowledge of AI frameworks like PyTorch, TensorFlow, ONNXRuntime, TVM, MLIR
• Familiar with key ML operations like GEMM, CONV.
• Understanding the performance implications on AI acceleration of different compute, memory, and communication configurations and hardware and software implementation choices.
• Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers.
• Effective communication and problem-solving skills
  
  
  

• Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent