AI Product Engineer - Inference Solutions

Overview:


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- 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:


AMD is looking for a highly motivated product engineer to own and manage the customer experience for AMD’s Software Solutions for ML inferencing. The successful candidate will:





Facilitate adoption of AMD’s ML inferencing solutions by facilitating customer on-boarding and delivering best-in-class customer experience





Work with R&D, marketing and key customers to drive the evolution of the product





Support strategic business engagements leveraging AMD’s ML inferencing solutions





We have competitive benefit packages and an award-winning culture. Join us!











THE PERSON:











The ideal candidate will be capable of communicating problems, solutions, and project status up to the executive level. You have the capability assuming the consultative or senior level responsibilities for large projects or product development initiatives, while dealing with internal and external groups on behalf of the group or project. This role allows the opportunity to influence technical decisions that have a significant impact on multiple products or the product line.











Key Responsibilities








Enable end-to-end AI inferencing solution productization by evaluating solutions targeting AMD's CPU/NPU/Embedded devices. This role involves extensive flow and usability analysis and generating performance data for model inferencing flows.





Develop use cases, examples, tutorials, and methodology collaterals for AI inference software components and ecosystems, including Compiler, Quantizer, Optimizer, Runtime, Profiler, Visualizer, Debugger, and more.





Engage with software developers to collaborate on product development, analyze product/feature specifications and usability to provide early feedback, and understand product/feature usage holistically to identify potential customer pain points.





Interact with internal and external customers to understand their issues, assist them in debugging their workflows to meet critical model and flow-specific requirements, and create use cases to reproduce issues, driving successful adoption.





Collaborate with the sales and marketing teams on strategic business engagements.





Work closely with R&D to prioritize issues and manage escalations.











EXPERIENCE:











MSEE with 3-10 years (or more) of experience in relevant areas.





Experience working with AI frameworks such as PyTorch and ONNX.





Work experience with state-of-the-art models in one or more domains: CNN, Transformers, LLMs, Generative AIs.





Experience in model analysis (CNN, LLM), performance, benchmarking, and accuracy testing.





Experience in quantizing and pruning ML networks is .





Experience working on and managing open-source AI projects is .





Hands-on experience with Python, C, and C++.





Expertise with popular development tools such as Git, CMake, Make, Conda, Docker, VSCode, bash, Linux.





Ability to think from the end-user's perspective, understand their needs, and advocate for them.





Documentation skills with the ability to present solutions clearly and concisely.





Good project management skills.





Familiarity with AI inference SDKs (e.g., Vitis AI, TensorRT, OpenVINO, SNPE) or AI accelerators will set you apart from other candidates.











ACADEMIC CREDENTIALS:





Master’s in computer engineering or computer science or electrical engineering,or comparable disciplines











LOCATION:





San Jose, CA





Longmont, CO





#LI-MM2





Qualifications:


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 .











AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or -based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to , ancestry, , marital status, medical condition, mental or physical , , , , political and/or third-party affiliation, , , , , 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.