MTS Software Development Eng. Job Listing at AMD in Shanghai (Job ID 57927-en-us)

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING

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. 

AMD together we advance_

THE ROLE: 

AI Software development engineer on teams building and optimizing Deep Learning applications and AI frameworks for AMD GPU compute platforms.  Work as part of an AMD development team and open-source community to analyze, develop, test and deploy improvements to make AMD the best platform for machine learning applications. 

THE PERSON: 

Strong technical and analytical skills in C++ development in a Linux environment. Ability to work as part of a team, while also being able to work independently, define goals and scope and lead your own development effort. 

KEY RESPONSIBILITIES: 

• Optimize deep learning frameworks like TensorFlow, PyTorch, etc. on AMD GPUs in upstream open-source repositories 
• Develop and optimize key Deep Learning models on AMD GPUs 
• Collaborate and interact with internal GPU library teams to analyze and optimize training and inference for deep learning 
• Work with open-source framework maintainers to understand their requirements – and have your code changes integrated upstream 
• Work in a distributed computing setting to optimize for both scale-up (multi-GPU) and scale-out (multi-node) systems 
• Work with cutting-edge compiler technologies 
• Optimize the entire deep learning pipeline including graph compiler integration 
• Apply your knowledge of software engineering best practices 

PREFERRED EXPERIENCE: 

• Proficient in independently defining project goals, scoping requirements, and leading development efforts with minimal supervision.
• Strong expertise in Python and C++ programming and software design, with a focus on debugging, performance optimization, and test design to ensure high-quality software solutions.
• Hands-on experience with running large-scale workloads on heterogeneous compute clusters, optimizing for both efficiency and scalability.
• Solid understanding of compiler theory and optimization techniques, enhancing the performance of complex software systems.
• Skilled in GPU programming, particularly using HIP and CUDA for developing high-performance applications.
• Knowledge of deep learning concepts and their practical applications, with the ability to integrate optimized GPU performance into machine learning models.
• Extensive experience with Compute Kernel (CK), CUTLASS, and Triton, leveraging these tools to develop and optimize GPU kernels for various hardware architectures, ensuring peak performance across different platforms.

ACADEMIC CREDENTIALS: 

• Bachelor's and/or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• 3-5 years of professional experience in technical software development, with a focus on GPU optimization, performance engineering, and framework development.

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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.