AI Software Product Engineer(GPU Kernel) at Advanced Micro Devices, Inc

Pudong, Shanghai, China -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Frameworks, PyTorch, vLLM, SGLang, Unsloth, TensorRT-LLM, Megatron-LM, DeepSpeed, LLMs, Generative AI, Transformer Architectures, AI Pipelines, GPU Kernel Programming, ROCm AI Software Stack, Communication, Presentation

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: “AI Product Applications Engineer (Solution Architect) – China” position is in the AMD AI group, located in China. PREFERRED EXPERIENCE: Hands‑on experience with AI frameworks, including PyTorch, vLLM, SGLang, Unsloth, TensorRT‑LLM, Megatron‑LM, and DeepSpeed. Proven experience in LLMs, Generative AI models, transformer architectures, and end‑to‑end AI pipelines. Familiarity with AMD MI‑series GPU architecture, GPU kernel programming, and the ROCm AI software stack is strongly preferred. Strong communication and presentation skills, with the ability to articulate architectural proposals and value propositions clearly. BS required; MS preferred, with 6+ years of relevant industry experience. THE PERSON: Success in this role will require deep knowledge of Data Center, Client, Endpoint AI workloads such as LLM, Generative AI, Recommendation, and/or transformer … AI cross cloud, client, edge… the candidate needs to have hands-on experiences with various AI models, end-to-end pipeline, industry framework (pytrouch, vLLM, SGLang, llm-d,Triton) / SDKs and solutions. KEY RESPONSIBILITIES: Lead and contribute to AI open‑source software projects that support the developer community and the broader ecosystem. Drive developer enablement through technical content (blogs, tutorials, user guides) and AI Academy initiatives. Support the success of AI developers, communities, and customer PoCs through hands‑on technical contributions. Capture and prioritize developer and customer requirements to influence AMD’s AI software and solutions roadmap. Analyze competitive AI software and solutions to identify strengths/weaknesses and clearly communicate AMD’s value propositions. Provide feedback and requirements for AI software across cloud, client, and edge deployments. #LI-FL1 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 leading and contributing to AI open-source software projects to support the developer community and driving developer enablement through technical content creation. Responsibilities also include supporting AI developers and capturing requirements to influence AMD's AI software roadmap.