Senior LLVM Compiler Engineer at Advanced Micro Devices, Inc

, , United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Compiler Engineering, LLVM, GPU, Language Implementation, Optimization, C++, Object-Oriented Programming, Performance Analysis, Code Reviews, Machine Learning Frameworks, HPC Applications, GPU Architecture, Parallel Programming Models, Problem-Solving, Communication

Industry

Semiconductor Manufacturing

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: If you are an experienced Compiler Engineer with passion to work on leading edge optimizing compilers for AMD GPU, we would love to talk to you and share with you the many exciting projects we are working on. THE PERSON: We are building first class compilation technology for AMD GPU. The successful candidate will work on language implementation and optimization in the open source LLVM compiler framework. Our compilers are used in the development of AMD Machine Learning frameworks and libraries, as well as HPC applications. The successful candidate will have a phenomenal opportunity to work closely with AMD first class Machine Learning, HPC and Library developers to get the best performance from the compiler. KEY RESPONSIBILITIES: Work in the open source developing new features and improvements in the AMD GPU compiler Analyze performance and correctness issues Participate in internal and external code reviews Work with machine learning frameworks and HPC applications to identify and implement compiler enhancements for existing and future AMD GPU hardware Represent AMD in open source communities PREFERRED EXPERIENCE: Strong background in compilers Strong C/C++ object-oriented programming background Track record of contributions in the open source LLVM project Good understanding of GPU execution model and architecture Parallel Programming Models, Languages and Runtime Systems Effective communication and problem-solving skills ACADEMIC CREDENTIALS: Bachelor’s, Master's, or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-CJ3 #LI-Remote 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.

Responsibilities

The role involves developing new features and improvements within the open-source AMD GPU compiler, analyzing performance and correctness issues, and participating in internal and external code reviews. Responsibilities also include working with machine learning frameworks and HPC applications to implement compiler enhancements for AMD GPU hardware.