How do I apply for the Graphics and Machine Learning Inference Engineer 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 Graphics and Machine Learning Inference Engineer role?

This position is a not disclosed, structured as a not disclosed role.

What educational background or degree level is required for the Graphics and Machine Learning Inference Engineer 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.

Graphics and Machine Learning Inference Engineer

AMD

Found 1 month ago

Location

Warsaw, Poland

Time

Not disclosed

Work Mode

Not disclosed

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

GFX kernels
ML operators
GPU hardware
transformers
scaled dot‑product attention
kernels
shaders
compilers
performance modeling
ML workloads
PyTorch/Onnx
GFX shaders
HIP
Cuda
HLSL
AI‑driven automation tools
GPU architecture
graphics APIs
DirectX
Vulkan
OpenGL
shader programming
ML operators
concurrent programming
threading
Windows
Linux
CMake
GitHub
PTX
ML techniques
graphics
rendering

Soft Skills

collaboration
innovation
problem‑solving skills
communication
collaboration

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. AMD is seeking a talented ML Inference Engineer who is passionate about pushing the boundaries of ML performance for Gaming and Generative AI. In this role, you’ll design, implement, and optimize high‑performance GFX kernels that power next‑generation visual and AI experiences across AMD’s product ecosystem. You’ll collaborate closely with hardware architects, software teams, and product groups to drive ML‑accelerated technologies into real customer applications.

Requirements

deep technical expertise in translating neural network models into highly efficient GPU inference implementations
strong understanding of GPU hardware, ML operators, and modern network architectures such as transformers and scaled dot‑product attention
work across multiple layers of the stack—kernels, shaders, compilers, and performance modeling—to deliver optimized ML workloads on AMD GFX hardware
T ransform neural network models and algorithms written in PyTorch/Onnx to efficient GFX shaders using languages such as HIP, Cuda, HLSL
Design, implement, and optimize high‑performance GPU kernels for ML operators
Build AI‑driven automation tools to accelerate kernel generation and optimization workflows
Analyze and debug performance bottlenecks in collaboration with compiler and performance modeling teams
Stay up‑to‑date with advancements in GPU architecture, ML accelerators, rendering techniques, and ML/GFX frameworks
Contribute to tools and methodologies for integrating optimized shaders into game engines
Drive next‑generation features across hardware, drivers, and compilers with a focus on performance per watt and performance per area
Document and share knowledge on best practices for GFX and ML programming within the team
Participate in code reviews and provide constructive feedback to peers
Strong programming skills in C++ and Python
Hands‑on experience optimizing GPU kernels for ML workloads using frameworks like HIP, CUDA, OpenCL, or HLSL
Deep understanding of GPU architecture: compute units, memory hierarchy, cache, scheduling, and the GPU programming model
Experience with graphics APIs (DirectX, Vulkan, OpenGL) and shader programming
Solid grasp of ML operators, their mathematical foundations, and modern ML architecture concepts
Experience with concurrent programming and threading
Development experience on Windows and/or Linux
Familiarity with software tools such as CMake and GitHub
Familiarity with low‑level GPU languages (e.g., PTX)
Understanding of ML techniques applied to graphics and rendering
Strong communication, collaboration, and problem‑solving skills

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

ML techniques applied to graphics and rendering

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20Open Positions

Open Positions

20Open Positions

Graphics and Machine Learning Inference Engineer

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

Languages

Nice to Haves