Software System Designer at Advanced Micro Devices, Inc

, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

0.0

Posted On

24 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, ROCm Stack, GFX SW Stack, Radeon GPU, NPU, Profiling, Algorithm Research, HIP, CUDA, Windows Driver Architecture, Programming, Optimization, Math Libraries, Cross Communication, Technical Dependencies, Schedule Management

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: The right engineer will drive the success of AI features in AMD (Advanced Micro Devices) products through leadership & coordination, resolution of technical dependencies, and achievement of schedule commits. This is a high-visibility and widely multi-functional role, spanning pre-silicon architecture to post-silicon implementation & product delivery. THE PERSON: Your curiosity will drive your learning and innovation to improve how we as a group, and an organization, can get better every day. Your peers will provide you a results-oriented and encouraging environment for your career growth, fueling your opportunity to be a part of Delighting Our Customers. KEY RESPONSIBILITIES: Work as G&E SW team member to deploy/enable/optimize AI solutions on ROCm stack on GFX SW stack on latest Radeon GPU/ NPU. Build up engineering AI solutions to improve AI models inference/training performance on GPU, strong experience on profiling for server cluster and algorithm research. Improve the AI modals inference & training performance through the GPU/NPU user mode driver and kernel mode driver SW optimization. Create and optimize stable, reusable HIP/CUDA code. Optimize the AMD ROCm math libraries from compiler, ISA level. Cross communicates with other sites engineering teams. PREFERRED EXPERIENCE: Master's degree in computer science, computer engineering, data science/analytics, machine learning, computer graphics, computer vision, statistics, and mathematics or a related field. Strong programming skills in Python, C/C++, CUDA/HIP with real project experience. Strong background on Windows driver architecture design experience. ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer or Electrical Engineering or equivalent 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.

Responsibilities

The engineer will drive the success of AI features in AMD products through leadership and coordination, focusing on technical dependencies and schedule commitments. Responsibilities include deploying and optimizing AI solutions on the ROCm stack and improving AI model performance on GPUs and NPUs.