How do I apply for the Applied ML researcher, Generative AI - Advanced Graphics Programs position at AMD and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the Applied ML researcher, Generative AI - Advanced Graphics Programs role?

This position is a not disclosed, structured as a on-site role, with an expected duration of 6 months.

What educational background or degree level is required for the Applied ML researcher, Generative AI - Advanced Graphics Programs at AMD?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does AMD provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Applied ML researcher, Generative AI - Advanced Graphics Programs

AMD

Found 1 month ago

Location

Munich, Germany

Duration (Months)

6 Months

Time

Not disclosed

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

generative AI
real-time graphics technologies
machine learning frameworks
transformers
neural graphics
C++
Python
GPU-related technologies
PyTorch
Tensorflow
attention modules
diffusion transformers
vision transformers
C/C++
Scripting (Python, etc.)
Graphics/Compute APIs (DX/OpenGL/Vulkan/OpenCL etc.)
GPU architecture

Soft Skills

technical brilliance
innovative thinking
passionate
highly skilled researcher
ability to work on cutting-edge research
translate academic insights into practical applications
contribute to technological innovation
analytical and problem-solving skills
attention to details

Job Description

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

Requirements

technical brilliance
innovative thinking in the field of generative AI and real-time graphics technologies
passionate, highly skilled researcher with a strong understanding of machine learning frameworks, transformers, and neural graphics
strong programming expertise in C++, Python, and GPU-related technologies
ability to work on cutting-edge research
translate academic insights into practical applications
contribute to technological innovation at the intersection of generative AI, gaming experiences, and computational graphics
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
influence in accelerating data center workloads
Work with a team of applied researchers to invent and path find new GenAI based technologies in real time neural graphics and other ML accelerated opportunities including data center workloads.
Perform STOA 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
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.
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.
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.
Bachelor or Master of Science degree with emphasis in Computer Science, Computer architecture, or Electrical Engineering with relevant experience preferred.

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Knowledge of GPU architecture is a plus.

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Applied ML researcher, Generative AI - Advanced Graphics Programs

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves