San Jose, United States
Not specified
Intermediate
Office work
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_
THE ROLE:
AI Solution Architect GPU. This position is in the AMD AI organization.
THE PERSON:
Success in this role requires deep expertise in Data Center AI workloads, including Large Language Models (LLMs), Generative AI, Recommendation Systems, Computer Vision, and other cutting-edge AI technologies. The ideal candidate will have hands-on experience with various AI models, end-to-end pipelines, and industry-standard frameworks and SDKs. This individual should possess a strong technical background in GPU computing and AI software solutions, with a focus on driving customer success and innovation in both cloud and edge environments.
KEY RESPONSIBILITIES:
- Lead technical discussions and craft strategic proposals for top customers, effectively positioning AMD's AI solutions and differentiators.
- Drive the successful execution of customer Proof-of-Concept (PoC) initiatives, ensuring technical alignment and achieving project milestones.
- Collaborate with customers to gather requirements and help shape AI software solutions, while contributing to the long-term roadmap for AI software across cloud and edge platforms.
- Provide valuable insights into hardware and silicon roadmap planning, ensuring alignment with AI-driven use cases and customer needs in the data center and at the edge.
- Conduct competitive analysis of AI solutions, identifying key strengths and weaknesses to effectively communicate AMD’s value proposition and market advantage.
PREFERRED EXPERIENCE:
- GPU Expertise: In-depth experience with GPU programming and optimization, including expertise in CUDA and ROCm.
- AI Software Proficiency: Strong hands-on experience with AI frameworks and software solutions, such as TensorRT, PyTorch, JAX, vLLM, and Megatron-LM. Coding skills in Python and C++.
- Model Optimization: Proven ability to implement and optimize large-scale AI models, including LLMs, Generative AI, and Recommendation Systems.
- Industry Experience: Experience working on AI projects in hyperscale data centers or large enterprise environments is highly preferred.
- Communication Skills: Exceptional written and verbal communication skills, with the ability to clearly present complex technical information and collaborate effectively with cross-functional teams and customers.
ACADEMIC CREDENTIALS:
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field is required.
- Master’s degree is preferred.
LOCATION:
San Jose, CA. Other US locations may be considered.
#LI-MV1
#HYBRID
#REMOTE
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.
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.
At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.
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.
THE ROLE:
AI Solution Architect GPU. This position is in the AMD AI organization.
THE PERSON:
Success in this role requires deep expertise in Data Center AI workloads, including Large Language Models (LLMs), Generative AI, Recommendation Systems, Computer Vision, and other cutting-edge AI technologies. The ideal candidate will have hands-on experience with various AI models, end-to-end pipelines, and industry-standard frameworks and SDKs. This individual should possess a strong technical background in GPU computing and AI software solutions, with a focus on driving customer success and innovation in both cloud and edge environments.
KEY RESPONSIBILITIES:
- Lead technical discussions and craft strategic proposals for top customers, effectively positioning AMD's AI solutions and differentiators.
- Drive the successful execution of customer Proof-of-Concept (PoC) initiatives, ensuring technical alignment and achieving project milestones.
- Collaborate with customers to gather requirements and help shape AI software solutions, while contributing to the long-term roadmap for AI software across cloud and edge platforms.
- Provide valuable insights into hardware and silicon roadmap planning, ensuring alignment with AI-driven use cases and customer needs in the data center and at the edge.
- Conduct competitive analysis of AI solutions, identifying key strengths and weaknesses to effectively communicate AMD’s value proposition and market advantage.
PREFERRED EXPERIENCE:
- GPU Expertise: In-depth experience with GPU programming and optimization, including expertise in CUDA and ROCm.
- AI Software Proficiency: Strong hands-on experience with AI frameworks and software solutions, such as TensorRT, PyTorch, JAX, vLLM, and Megatron-LM. Coding skills in Python and C++.
- Model Optimization: Proven ability to implement and optimize large-scale AI models, including LLMs, Generative AI, and Recommendation Systems.
- Industry Experience: Experience working on AI projects in hyperscale data centers or large enterprise environments is highly preferred.
- Communication Skills: Exceptional written and verbal communication skills, with the ability to clearly present complex technical information and collaborate effectively with cross-functional teams and customers.
ACADEMIC CREDENTIALS:
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field is required.
- Master’s degree is preferred.
LOCATION:
San Jose, CA. Other US locations may be considered.
#LI-MV1
#HYBRID
#REMOTE
