ML GPU Kernel Development Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING 

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.  

ML GPU Kernel Development Engineer

THE ROLE: 

We are seeking a talented Machine Learning Kernel Developer to design, develop, and optimize low-level machine learning kernels for AMD GPUs using the ROCm software stack. In this role, you will work on high-impact projects to accelerate AI frameworks and libraries, with a focus on emerging technologies like Large Language Models (LLMs)  and other generative AI workloads.

THE PERSON: 

The ideal candidate will have hands-on experience with GPU programming (ROCm or CUDA) and a passion for pushing the boundaries of AI performance.

KEY RESPONSIBILITIES: 

• Design and implement highly optimized ML kernels (e.g., matrix operations, attention mechanisms) for AMD GPUs using ROCm.
• Profile, debug, and tune kernel performance to maximize hardware utilization for AI workloads.
• Collaborate with ML researchers and framework developers to integrate kernels into AI frameworks (e.g., PyTorch, TensorFlow) and inference engines (e.g., vLLM, SGLang).
• Contribute to the ROCm software stack by identifying and resolving bottlenecks in libraries like MIOpen, BLAS, or Composable Kernel.
• Stay updated on the latest AI/ML trends (LLMs, quantization, distributed inference) and apply them to kernel development.
• Document and communicate technical designs, benchmarks, and best practices.
• Troubleshoot and resolve issues related to GPU compatibility, performance, and scalability.

REQUIRED EXPERIENCE: 

• 2+ years of experience in GPU kernel development for machine learning (ROCm or CUDA).
• Proficiency in C/C++ and Python, with experience in performance-critical programming.
• Strong understanding of ML frameworks (PyTorch, TensorFlow) and GPU-accelerated libraries.
• Basic knowledge of modern AI technologies (LLMs, transformers, inference optimization).
• Familiarity with parallel computing, memory optimization, and hardware architectures.
• Problem-solving skills and ability to work in a fast-paced environment.

PREFERRED EXPERIENCE: 

• Direct experience with AMD ROCm development (HIP, MIOpen, Composable Kernel).
• Knowledge of LLM-specific optimizations (e.g., FlashAttention, PagedAttention in vLLM).
• Experience with distributed training/inference or model compression techniques.
• Contributions to open-source ML projects or GPU compute libraries.

ACADEMIC CREDENTIALS: 

• Bachelor's/Master's in Computer Science, Electrical Engineering, or related field.

#LI-PK1

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.