MTS Performance Modeling Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming, and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.THE ROLE:AMD is looking for an influential software engineer who is passionate about improving the performance of key applications and benchmarks. You will be a member of a team of talented industry specialists and will work in driving advanced exploration for next generation GPU architectures and micro-architectures for the next generation workloads.THE PERSON:The ideal candidate should be passionate about system architecture, performance modeling, AI models and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with a set of partners.KEY RESPONSIBILITIES:Work as part of AMD's GPU Architecture and Performance Team to develop future AMD products.Run simulation models for new products and analyze results to characterize both the product and workloads.Keep abreast of new workloads, particularly for AI models.Collaborate closely with hardware architects, system engineers and business teams in evaluating and understanding performance characteristics.PREFERRED EXPERIENCE:Strong understanding of system architecture and hardware design.Experience with modeling of systems.Understanding of AI workloads at a detailed level.GPU software development and parallel programming.Analytical and performance analysis skills.Effective communication and problem-solving skills.Software development in C++ and Python.Motivating leader with good interpersonal skills.Recent experience, particularly in areas of GPU/parallel programming, computer architecture, machine learning and software engineering.ACADEMIC CREDENTIALS:Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related.

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