China Job Openings
Advanced Micro Devices, Inc
MTS Product Application Eng.
November 4, 2024
Overview:
“AI Architect – China” position is in the AMD AI group, located in China.
THE PERSON:
Success in this role will require deep knowledge of Data Center AI workloads such as LLM, Generative AI, Recommendation, NLP, Video Analytics, 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 / SDKs and solutions.
KEY RESPONSIBILITIES:
PREFERRED EXPERIENCE:
LOCATION:
Shanghai/Shenzhen/Beijing
#LI-FL1
Qualifications:
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.
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_
Responsibilities:
THE ROLE:
“AI Architect – China” position is in the AMD AI group, located in China.
THE PERSON:
Success in this role will require deep knowledge of Data Center AI workloads such as LLM, Generative AI, Recommendation, NLP, Video Analytics, 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 / SDKs and solutions.
KEY RESPONSIBILITIES:
- Position technical proposals to top customers.
- Provide significant contribution to customer Po C success.
- Drive customer requirements for AI SW, solution roadmap planning.
- Provide inputs to hardware silicon / board roadmap for AI cross cloud, client, and edge...
- Analyze competitive solutions to identify strength and weakness for articulate value propositions.
PREFERRED EXPERIENCE:
- Hands-on experiences with AI tools is a must (e.g. Tensor RT, One DNN, Open VINO).
- Experiences implementing LLM, Generative AI, Recommendation, NLP, Video Analytics, and/or transformer… pipeline is a must.
- Solid communication skill to position the architecture proposal and value proposition.
- AMD ROCm, Vitis AI, zen DNN, AI Engine knowledge…
- CPU, GPU, CUDA knowledge
- BS required. MS preferred with 5+ years of relevant industry experience.
- Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
LOCATION:
Shanghai/Shenzhen/Beijing
#LI-FL1
Qualifications:
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.
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