Sr AI/ML Compiler Engineer

Job highlights

• Strong object-oriented programming background,C / C++ preferred with 6+ 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.
• Preferred Experience

Sr AI/ML Compiler Engineer

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.

Preferred Experience

• Strong object-oriented programming background, C/C++ preferred with 6+ 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

Academic Credentials

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

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