Fellow Software Development Eng. at Advanced Micro Devices, Inc

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GPU Architecture, Kernel Development, Machine Learning, API Design, Optimization, Collaboration, Documentation, Performance Analysis, HIP, Convolution Kernels, Math Libraries, HPC, Software Development, Mentoring, Technical Communication, Innovation

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. This role is not eligible for visa sponsorship. THE ROLE: You will play a pivotal role in GPU architecture feature design, usage, API design, optimization, and deployment, driving end to end kernel development and optimization. In this role you will be collaborating with teams involved in all aspects of the machine learning, math libraries and GPU architecture in the pre-silicon and post-silicon development. THE PERSON: We are looking for a talented and motivated GPU kernel developer with broad and deep experience in compute and machine learning software development to deliver out of the box high performance ROCm core software to our customers. A great candidate will be a strong collaborator who is open to continuous learning and is excited about innovative solutions for ML and HPC on GPUs. KEY RESPONSIBILITIES: Develop performant convolution kernels in HIP for new products and work with HIP runtime and compiler teams for optimization. Collaborate with and mentor other developers. Engage in GPU architecture design and investigate the usages of GPU architecture features for building GPU kernels Design and develop GPU kernels to demonstrate how architecture features can be exposed via APIs such as HIP and can achieve expected performance and quality improvement for ML and HPC usages Document and present feature programming techniques and support feature deployment in ROCms software. Analyze and optimize the performance of GPU kernels, providing insight on optimization paths Communicate and collaborate with key technical experts across AMD and with our partners and customers to improve ROCm applications, libraries, and tools, as well as hardware PREFERRED ACADEMIC CREDENTIALS: Bachelor’s or Master's or PhD degree in Computer Science, Computer Engineering, or equivalent experience LOCATION: US #LI-G11 #LI-HYBRID 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 performant convolution kernels in HIP and collaborating with teams on GPU architecture design and optimization. Additionally, the candidate will document and present programming techniques and analyze GPU kernel performance.