Principal Applied Machine Learning Researcher, Generative AI - Advanced Graphics Programs

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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.

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THE ROLE:

We are looking for an experienced Principal Applied Machine Learning Researcher to contribute towards inventing and building disruptive technologies for various current and future PC gaming experiences with real-time immersive rendering, generative AI techniques (Diffusion/Transformer) and large language model, which would also need to influence in accelerating data center workloads.

THE PERSON:

We are seeking an exceptional and visionary Principal Applied Machine Learning Researcher who embodies technical brilliance, innovative thinking, and leadership in generative AI and real-time graphics technologies. The ideal candidate will be a passionate, highly skilled researcher with a profound understanding of machine learning frameworks, transformers, and neural graphics, coupled with strong programming expertise in C++, Python, and GPU-related technologies. This individual must demonstrate the ability to lead cutting-edge research, translate academic insights into practical applications, and drive technological innovation at the intersection of generative AI, gaming experiences, and computational graphics.

KEY RESPONSIBILITIES:

• Lead a team of applied researchers to invent and path find new GenAI based technologies in real time neural graphics and other ML accelerated opportunities.
• Perform SOTA research; Implement POCs to demonstrate these disruptive technologies keeping a keen eye on low level HW and SW optimizations;
• Create comprehensive datasets to test POCs for quality and performance by putting in hooks into game engines to capture required data.
• Contribute to writing software architecture specs to deliver to ISV/Dev tech teams to aid deployment to product.
• Contribute towards AMD's IP portfolio by publishing novel research in top conferences.

PREFERRED EXPERIENCE:

• Experience developing ML models in popular frameworks ( PyTorch, Tensorflow etc.,)
• Ability to reproduce STOA and iterate on it to fit the application under consideration
• Through understanding of attention modules, diffusion transformers and vision transformers.
• Good understanding of game engines and mechanisms to create custom scenes/datasets
• Excellent C/C++/Scripting (Python, etc.) skills.
• Excellent analytical and problem-solving skills along with attention to details.
• Knowledge of Graphics/Compute APIs (DX/OpenGL/Vulkan/OpenCL etc.)
• Knowledge of GPU architecture is a plus

ACADEMIC CREDENTIALS:

• Undergrad degree required. PhD, Bachelor or Master of Science degree with emphasis in Computer Science, Computer architecture, or Electrical Engineering is preferred.

LOCATION:

• Folsom, CA - Santa Clara, CA - San Jose, CA - San Diego, CA - Austin, TX or Orlando, FL

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At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail here.

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.