FAQs
What is the primary role of a Deep Learning Solution Architect at NVIDIA?
The primary role involves guiding customers through the sales process for GPU Computing products, managing technical relationships, and assisting them in building innovative solutions based on NVIDIA technology.
What qualifications are required for this position?
A B.Tech. in Engineering, Mathematics, Physics, or Computer Science is required, with an MS being desirable, along with 2+ years of Deep Learning experience.
What types of customers will I be working with?
You will be working with supercomputing and technical computing customers, including those interested in LLM, MLLM, Generative AI, and RAGs.
Are there any specific technical skills or experiences required for this role?
Yes, experience with deep learning software architecture, training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face, and knowledge of BCM, infrastructure management, SLURM, K8, storage, and InfiniBand are required.
Is customer-facing experience important for this role?
Yes, a customer-facing skill-set and the ability to communicate effectively with customers are essential for this position.
What tools and technologies will I need to be familiar with?
Familiarity with GPU technologies, GPU cluster management, large scale and cluster computing, and distributed computing concepts is important for this role.
Will I need to travel for this position?
Yes, occasional travel is required for local on-site visits to customers and data science conferences.
What are the key responsibilities associated with LAB and EBC?
You will be responsible for all customer visits and engagements, as well as organizing workshops and hands-on training sessions.
What qualities or skills would help a candidate stand out for this role?
Specialty skills in large scale computing, parallel computing expertise, and hands-on experience with designing efficient workflows for LLM training and inference on GPU clusters would help a candidate stand out.
Does NVIDIA promote diversity and inclusion within its workforce?
Yes, NVIDIA is committed to fostering a diverse work environment and is proud to be an equal-opportunity employer, ensuring no discrimination based on various protected characteristics.