Senior AI Software Development Engineer

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:

We are seeking a highly skilled Software Development Engineer to join our team and contribute to the development, optimization, and performance enhancement of AI libraries for AMD's cutting-edge GPU compute platforms. In this role, you will work at the forefront of AI technology, helping to deliver high-performance solutions that empower a wide range of AI workloads.

THE PERSON:

In this role, you will play a key part in developing and refining essential libraries that power AI workloads. We are seeking a person who brings a deep understanding of performance optimization, with a sharp analytical mindset and exceptional problem-solving abilities. Alternatively, if you possess a strong software development background and a passion for driving system efficiency, this is an opportunity to leverage your skills in a dynamic and cutting-edge field.

KEY RESPONSIBILITIES:

• Library Development & Optimization: Design, implement, and optimize AI operations specifically for AMD GPU platforms, ensuring maximum performance and efficiency.
• Performance Profiling & Analysis: Conduct in-depth profiling and performance analysis to identify and resolve bottlenecks in AI workloads.
• Collaborative Innovation: Work closely with AMD's internal technical teams as well as external partners and customers to continuously improve and refine AI libraries.
• Quality Code Delivery: Contribute to open-source software projects, maintaining high standards for code quality, reliability, and maintainability.

PREFERRED EXPERIENCE:

• Proficiency in C/C++: Strong experience in software development, including software architecture design, performance analysis, debugging, and test design.
• GPU Computing Expertise: Familiarity with GPU computing frameworks such as CUDA, HIP, or OpenCL, with a solid understanding of parallel programming.
• Low-Level Optimization: Experience with performance tuning techniques, including assembly programming, is a plus.
• Understanding of AI Accelerators: Knowledge of various AI hardware accelerators (e.g., GPU, DSP, TPU) and their architectures is advantageous.
• AI Operations: Familiarity with the operations and algorithms commonly used in AI workloads

ACADEMIC CREDENTIALS:

• A Master’s, PhD, or equivalent experience in Computer Science, Computer Engineering, or a related field.

LOCATION:

Tokyo, Japan

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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.

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.

THE ROLE:

We are seeking a highly skilled Software Development Engineer to join our team and contribute to the development, optimization, and performance enhancement of AI libraries for AMD's cutting-edge GPU compute platforms. In this role, you will work at the forefront of AI technology, helping to deliver high-performance solutions that empower a wide range of AI workloads.

THE PERSON:

In this role, you will play a key part in developing and refining essential libraries that power AI workloads. We are seeking a person who brings a deep understanding of performance optimization, with a sharp analytical mindset and exceptional problem-solving abilities. Alternatively, if you possess a strong software development background and a passion for driving system efficiency, this is an opportunity to leverage your skills in a dynamic and cutting-edge field.

KEY RESPONSIBILITIES:

• Library Development & Optimization: Design, implement, and optimize AI operations specifically for AMD GPU platforms, ensuring maximum performance and efficiency.
• Performance Profiling & Analysis: Conduct in-depth profiling and performance analysis to identify and resolve bottlenecks in AI workloads.
• Collaborative Innovation: Work closely with AMD's internal technical teams as well as external partners and customers to continuously improve and refine AI libraries.
• Quality Code Delivery: Contribute to open-source software projects, maintaining high standards for code quality, reliability, and maintainability.

PREFERRED EXPERIENCE:

• Proficiency in C/C++: Strong experience in software development, including software architecture design, performance analysis, debugging, and test design.
• GPU Computing Expertise: Familiarity with GPU computing frameworks such as CUDA, HIP, or OpenCL, with a solid understanding of parallel programming.
• Low-Level Optimization: Experience with performance tuning techniques, including assembly programming, is a plus.
• Understanding of AI Accelerators: Knowledge of various AI hardware accelerators (e.g., GPU, DSP, TPU) and their architectures is advantageous.
• AI Operations: Familiarity with the operations and algorithms commonly used in AI workloads

ACADEMIC CREDENTIALS:

• A Master’s, PhD, or equivalent experience in Computer Science, Computer Engineering, or a related field.

LOCATION:

Tokyo, Japan

#LI-TD1

#LI-Hybrid