AI Product Development Engineer

3 days ago

San Jose, California, United States Advanced Micro Devices , Inc. Full time
About the Role

Advanced Micro Devices, Inc. is seeking a highly motivated and experienced AI Product Development Engineer to join our team. As a key member of our software development team, you will be responsible for designing, developing, and delivering cutting-edge AI solutions that accelerate next-generation computing experiences.

Key Responsibilities
  • Facilitate adoption of AMD's AI 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 AI solutions.
  • Enable end-to-end AI inferencing solution productization by evaluating solutions targeting AMD's CPU/NPU/Embedded devices.
  • Develop use cases, examples, tutorials, and methodology collaterals for AI inference software components and ecosystems.
  • 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.
Requirements
  • 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 preferred.
  • Experience working on and managing open-source AI projects is preferred.
  • 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.

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