Deep Learning Solutions Architect – Inference Optimization(m/w/x)

In this role, you will engage with key customers to deliver tailored AI solutions while optimizing performance on advanced GPU systems. Your work will involve collaboration across teams and gathering insights to drive product development.

Anforderungen

• •MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields
• •5+ years work or research experience with Python, C++, or other software development
• •Work experience and knowledge of modern NLP including understanding of transformer, state space, diffusion, MOE model architectures
• •Understanding of key libraries used for NLP/LLM training and/or deployment
• •Proficient with DevOps tools including Docker, Kubernetes, and Singularity
• •Demonstrated experience in running and debugging large-scale distributed deep learning training or inference processes
• •Experience working with larger transformer-based architectures for NLP, CV, ASR, or other
• •Applied NLP technology in production environments
• •Enthusiasm for collaborating with various teams and departments
• •Self-starter with demeanor for growth and passion for continuous learning