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Sr. Manager Software Development, AI Models

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: Advanced Micro Devices
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Manager Software Development, AI Models and Applications

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture.

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE

The AI Models and Applications team at AMD is looking for a specialized senior manager who is passionate about enabling innovative and efficient Generative AI training/inferencing  will lead a core team of incredibly talented specialists and will work with the latest Generative AI algorithm and software technology.

THE PERSON

The ideal candidate has deep technical understanding of the latest generative AI applications like large language models (LLMs), large multimodal models (LMMs), image/video generation and is passionate about innovating efficient approaches to enable on AMD devices. You have outstanding people leadership skills to lead, motivate, and guide your team working in a fast-paced organization. Strong ability to communicate effectively and work optimally with different teams across AMD.

Why

Join Us?
  • Exciting Opportunities:
    As a Senior Manager for AI Models Software Development, you will be at the forefront of innovation, working with the latest Gen AI models and algorithms. You will have the opportunity to shape the future of AI model training and inference optimizations across a variety of applications.
  • Talented Team:
    Join a team of highly skilled industry specialists who are passionate about pushing the boundaries of AI. Collaborate with like-minded professionals and learn from the best in the field.
  • Cutting-edge Technology:
    Work with state-of-the-art AI algorithm and software technology, enabling you to stay ahead of the curve and drive advancements in AI model development.
  • Impactful Work:
    Your contributions will directly impact the performance and efficiency of AI models, making a significant difference in various industries and applications.
KEY RESPONSIBILITIES
  • Lead a team focusing on research, design, and implement novel methods for efficient Generative AI.
  • Propose and apply innovative techniques to support both training and inferencing including innovative transformer architectures, parallelism strategies to train on large clusters, low-precision training, model quantization, and acceleration for algorithms on various AMD platform, e.g., GPU/CPU/AIE.
  • Collaborate with software and hardware teams to E2E co-optimize performance on current and future AMD solutions.
  • Work with open-source frameworks and communities (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes.
  • Publish and promote your work within AMD and at external venues.
PREFERRED EXPERIENCE
  • Strong technical expertise in Gen AI model training and inference, and familiarity with deep learning frameworks like PyTorch/JAX/vLLM/SGLang.
  • Strong technical expertise in algorithmic innovation towards efficient Gen AI applications for both training and inference; expertise/publications in at least one area such as efficient model architectures, optimized training, innovative parallelism strategies, low-precision training, or model quantization.
  • Publications in conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc. are a plus.
  • Experience productizing topics such as LLMs, Large Multi-modal models, 3D World Model or agentic workflows is a plus.
  • Strong leadership and management skills.
  • Excellent written, verbal, and presentation skills; ability to coordinate internally and externally.
  • Several years of experience in AI, deep learning and related software development, along with mentoring and managing high performing teams.
ACADEMIC CREDENTIALS

Master’s degree or…

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