What are the responsibilities and job description for the Principal Performance Modeling Engineer position at Advanced Micro Devices, Inc?
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Principal Performance Modeling Engineer
THE TEAM:
AI is defining the next era of computing, and this is just the beginning. We see the benefits of AI every day—enabling medical research, curbing credit card fraud, reducing congestion in cities, or simply making life easier.
In the ever-evolving landscape of artificial intelligence, we are a powerhouse – a cutting-edge 'AI Software Solutions Team'. Specialized in AI optimization, fine-tuning large language models to unlock unprecedented Generative AI efficiency. Our expertise extends beyond the hardware realm, encompassing 3P enablement, where we develop custom AI Software Solutions for Industry leading AI customers. Are you excited to work with one of Top 1% of the AI companies in the world?
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 mdoels.
- 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 thesis and coursework/internships, 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
LOCATION: Santa Clara, CA, Austin, TX
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Benefits offered are described: AMD benefits at a glance.
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