We are recruiting outstanding engineers with a passion for Machine Learning & AI to lead the definition and specification of AMD next-generation architectures. PhD/MSc-qualified engineers, with a strong background in architectures for AI/ML, mathematical modelling and performance projections, will be at the forefront of identifying, specifying and developing new architectures for machine learning and how they will impact AMD next-generation products.
You will join a team whose architecture and systems activities cover a wide range of disciplines including machine learning for data center (HPC) and embedded computing applications; emerging memory technologies; on-chip interconnects; specification, modelling and analysis of modern heterogeneous multicore architectures.
Key Responsibilities
- Creating and using analytical performance projection tools targeting AI/ML applications running on modern heterogeneous multicore architectures
- Applying strong software engineering skills to implement/improve performance optimization techniques to be integrated into performance projection tool flows
- Provide results/reports that drive the definition and specification of the next-generation architectures
- Technical interaction with internal engineering teams and AMD customers
Preferred Experience
- PhD/MS/BS Degree in Computer Science, Electrical Engineering or related field
- Strong understanding of the state of the art/emerging ML algorithms and their mapping onto modern heterogeneous multicore architectures
- Experienced in using popular ML frameworks, such as Pytorch, Tensorflow, ONNX
- Strong understanding of the quantization techniques, such as PTQ, QAT
- Strong C/C++ programming experience and scripting skills (python/shell)
- Effective communication and problem-solving skills
Academic Credentials
- Bachelor’s or Master’s or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
