Description
WHAT YOU DO AT AMD CHANGES EVERYTHING
We 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.
AMD together we advance_
THE ROLE:
The right engineer will drive the success of power IP (Intellectual Property) and features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. This is a high-visibility and widely multi-functional role, spanning pre-silicon architecture to post-silicon implementation & product delivery.
THE PERSON:
Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you a results-oriented and encouraging environment for your career growth, fueling your opportunity to be a part of Delighting Our Customers.
KEY RESPONSIBILITIES:
Work as G&E SW team member to deploy/enable/optimize AI solutions on ROCm stack on GFX SW stack on latest Radeon GPU.
Build up engineering AI solutions to improve AI models inference/training performance on GPU, strong experience on profiling for server cluster and algorithm research.
Create and optimize stable, reusable HIP/CUDA code.
Optimize the AMD ROCm math libraries from compiler, ISA level.
Cross communicates with other sites engineering teams.
PREFERRED EXPERIENCE:
Master's degree in computer science, computer engineering, data science/analytics, machine learning, computer graphics, computer vision, statistics, and mathematics or a related field.
Strong programming skills in Python, C/C++, CUDA/HIP with real project experience.
Deep learning/AI frameworks (like vLLM, SGLang, Llamacpp), machine learning algorithms (like Transformer, DiT, VAE), kernel programming (like ROCm/CUDA/Triton), and LLM/SD GPU deployments
ACADEMIC CREDENTIALS:
- Bachelor's or Master's degree in Computer or Electrical Engineering or equivalent
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Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
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