About this role

Work directly with key customers to understand their technology and provide the best solutions.
Drive adoption of NVIDIA open-source evaluation tools (NeMo) and help the community develop standard methodology for model's robustness measurement.
Develop and demonstrate solutions based on NVIDIA’s and open-source LLM technology and integrate them into agentic pipelines.
Partner with engineering, product and sales teams to develop, plan best suitable solutions for customers.
Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures.

MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields
5+ years of hands-on experience in building, evaluating Deep Neural Networks.
Work experience and knowledge of the latest LLMs or VLMs and Retrieval Systems.
Understanding of key libraries used for DNN evaluation like Eval Harness or NVIDIA Evaluation Microservice as well as agentic pipeline evaluation.
Good understanding of modern evaluation benchmarks and ability to extend them / build new benchmarks.
Excellent verbal, written communication, and technical presentation skills in English.

Solutions Architect – Deep Neural Network Evaluation

Key skills