Principal Engineer / Tech Lead -- AI Models and Applications Job Listing at AMD in San Jose, CA (Job ID 72249-en-us)

T

THE ROLE:

The AI Models and Applications team at AMD is looking for a specialized Technical lead / Principal engineer who is passionate about enabling innovative and efficient Generative AI training/inferencing at scale. You will be part of a core team of incredibly talented specialists and work on scaling training and inference for the latest Generative AI models.

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, has experience training models at scale and is passionate about innovating efficient approaches to enable distributed training and inference at scale on AMD devices.

Why Join Us?

• Exciting Opportunities: As a Principal / Tech Lead 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 GenAI algorithms and software enabling you to stay ahead of the curve and drive advancements in AI model training at Scale and deployment.
• Impactful Work: Your contributions will directly influence how cutting-edge gen AI models across the industry are efficiently trained at scale as well as inferencing deployed to serve millions of customers, making a significant difference in various industries and applications.

KEY RESPONSIBILITIES:

• 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.
• Implement novel efficient architectures for Generative AI models for training and inference and showcase benefits on AMD
• Work with open-source framework and community (e.g., PyTorch, JAX, Hugging Face) to integrate AMD optimized models, libraries and publish training recipes.
• Collaborate with software and hardware team to E2E co-optimize performance on current and future AMD solutions.
• 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 working with deep learning frameworks like PyTorch/JAX.
• Strong technical expertise in algorithmic innovation towards efficient Gen AI application for both training and inferencing.
• Expertise/publications in one of the areas preferred - efficient model architectures, optimized training, innovative parallelism strategies or low-precision training.
• Additional plus if publications include conferences such as NeuRIPS, CVPR, ECCV/ICCV, ICML, ICLR, etc.
• Experience productizing generative AI models and training foundation model at Scale
• 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 other team members and/or managing teams.

ACADEMIC CREDENTIALS:

PhD or master's degree or above; with major in CS, EE, Mathematics, or a related field.

LOCATION:

San Jose, CA (Hybrid).

Can consider Seattle or Austin

#LI-MV1

#LI-HYBRID

Benefits offered are described:  AMD benefits at a glance.

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.