AMD

Principal AI Software Solution Architect

San Jose, California
146 days ago

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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 Join a team of AI software professionals who are passionate about driving product innovation and defining the future of AI-powered solutions. You'll be responsible for overseeing the product lifecycle from ideation to market launch, ensuring seamless integration with diverse platforms, including on-premise deployments and leading cloud services. You'll collaborate closely with AI engineering and business units to develop cutting-edge AI solutions across various applications such as Large language model, recommendation system, natural language processing, vision recognition etc. 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 Drive best of class development flows and methodologies for AMD GPU AI software and tools by collaborating with engineering and helping drive the design features and product roadmap Drive successful adoption of AMD GPU AI software and tools Provide AI/ML technical expertise to the field and customers, including solution proposal, tutorials, and hands-on videos Driving pre-sales technical engagements with solution proposal and hands-on support Work closely with product marketing to develop effective technical collateral, competitive analysis, and technical sales training for AI products and solutions Preferred Experience Hands-on experience with GPU AI using CUDA/ROCm, Pytorch is a must Hands-on experiences of implementing and optimizing LLM, Generative AI, Recommendation, NLP, Video Analytics, and/or transformer is a must Strong expertise with AI software (e.g. TensorRT, Deepspeed, Megatron-LM, OneDNN, OpenVino) is a plus Experience with AI projects in hyperscale and enterprise is a plus Excellent written and verbal communication skills, presentations skills, and the ability to work with multiple groups Academic Credentials BS required. MS preferred with + 5 years of relevant industry experience #LI-EM1 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.

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