Sr. Software Development Engineer – GPU Kernel Development

AMD; Santa Clara (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Benefits at a glance

Job summary

AMD is seeking a senior C++/Linux expert to optimize and develop deep learning frameworks for AMD GPUs. You will work on GPU kernels, model performance, and multi-GPU/multi-node scales while collaborating with internal teams and open‑source maintainers.

The ideal candidate combines deep learning experience with advanced compiler and HPC knowledge, and will provide technical leadership across projects and teams.

Qualifications

• Experience designing and optimizing GPU kernels for deep learning on AMD GPUs.
• Proven ability to integrate GPU-accelerated compute into ML frameworks (PyTorch, TensorFlow).
• Advanced proficiency in Python and C++ with performance tuning and robust test design.

Responsibilities

• Optimize Deep Learning Frameworks: enhance frameworks for AMD GPUs in open‑source repos.
• Develop GPU kernels to maximize AI operation performance.
• Collaborate with internal GPU library teams and open‑source maintainers for upstream integration.

Skills

C++ development

Linux

Deep learning

GPU optimization

Team leadership

Python

Education

Master’s/PhD in CS/CE/EE

Tools

HIP

CUDA

CK

CUTLASS

Triton

LLVM

ROCm

Job description

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.

THE ROLE:

As a core member of the team, you will play a pivotal role in optimizing and developing deep learning frameworks for AMD GPUs. Your expertise will be critical in enhancing GPU kernels, deep learning models, and training/inference performance across multi-GPU and multi-node systems. You will engage with both internal GPU library teams and open‑source maintainers to ensure seamless integration of optimizations, utilizing cutting‑edge compiler technologies and advanced engineering principles to drive continuous improvement.

THE PERSON:

Seeking an Industry Leading Expert C++ developer with advanced technical and analytical skills in Linux environments. The ideal candidate will excel in providing technical leadership, guiding teams, and driving projects/initiatives independently. You will define goals, scope, and own development efforts while collaborating effectively within a high‑performing team.

KEY RESPONSIBILITIES:

• Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open‑source repositories.
• Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations.
• Develop & Optimize Models: Design and optimize deep learning models specifically for AMD GPU performance.
• Collaborate with GPU Library Teams: Work closely with internal teams to analyze and improve training and inference performance on AMD GPUs.
• Collaborate with Open‑Source Maintainers: Engage with framework maintainers to ensure code changes are aligned with requirements and integrated upstream.
• Work in Distributed Computing Environments: Optimize deep learning performance on both scale‑up (multi‑GPU) and scale‑out (multi‑node) systems.
• Utilize Cutting‑Edge Compiler Tech: Leverage advanced compiler technologies to improve deep learning performance.
• Optimize Deep Learning Pipeline: Enhance the full pipeline, including integrating graph compilers.
• Software Engineering Best Practices: Apply sound engineering principles to ensure robust, maintainable solutions.
• Lead, Guide & Mentor: Provide strategic direction and mentorship to junior team members, fostering growth and collaboration through code reviews, knowledge sharing, and technical guidance.

PREFERRED EXPERIENCE:

• GPU Kernel Development & Optimization: Deep expertise in designing and optimizing GPU kernels for deep learning on AMD GPUs using HIP, CUDA, and assembly (ASM). Strong knowledge of AMD architectures (GCN, RDNA) and low‑level programming to maximize performance for AI operations, leveraging tools like Compute Kernel (CK), CUTLASS, and Triton for multi‑GPU and multi‑platform performance.
• Deep Learning Integration: Proven ability and experience to integrate GPU‑accelerated compute into ML frameworks (e.g., PyTorch, TensorFlow), with a focus on throughput, scalability, and efficient execution for training and inference workloads.
• Software Engineering Excellence: Advanced proficiency in Python and C++ with deep experience in performance tuning, debugging, and robust test design, ensuring reliable, maintainable, high‑performance codebases.
• High‑Performance Computing: Broad and in‑depth experience with large‑scale, heterogeneous compute environments; adept at optimizing AI workloads for performance, efficiency, and resource utilization across clusters.
• Compiler Optimization: Thorough and detailed understanding of compiler internals, LLVM, and ROCm, with the ability to drive system‑level optimizations from source to machine code.

ACADEMIC CREDENTIALS:

• Master’s and/or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.