Solutions Architect - Deep Neural Network Evaluation

NVIDIA; Marseille; Sur place; EUR 110 000 - 150 000; Plein temps

Résumé du poste

NVIDIA is seeking an AI-focused Solution Architect to evaluate neural networks and agentic pipelines for enterprise customers across EMEA. You will drive demonstrations and work with customers to tailor NVIDIA technologies to their needs.

As a key technical liaison, you will collaborate with engineering, product and sales teams to promote robust model evaluation methods and integrate LLM/VLM technologies into end-to-end workflows.

Qualifications

• MS/PhD or equivalent in CS, data science, engineering, physics, mathematics
• 5+ years hands-on experience in building, evaluating deep neural networks
• Proven ML/DL/DS experience with emphasis on deep learning
• Experience with latest LLMs or VLMs and retrieval systems
• Understanding of evaluation libraries such as Eval Harness and NVIDIA Evaluation Microservice
• Knowledge of modern evaluation benchmarks and ability to extend them
• Excellent verbal and written English communication

Responsabilités

• Work with key customers to understand their tech and provide best solutions.
• Drive adoption of NVIDIA evaluation tools and establish standard methodologies.
• Develop and demonstrate solutions based on LLM/VLM tech and integrate into agentic pipelines.
• Collaborate with engineering, product and sales to tailor solutions and gather feedback.
• Build industry expertise and integrate NVIDIA tech into enterprise architectures.

Connaissances

Deep Neural Networks

LLMs

VLMs

Retrieval Systems

English communication

Formation

MS/PhD or equivalent experience

Outils

Eval Harness

NVIDIA Evaluation Microservice

Description du poste

NVIDIA’s Worldwide Field Operations (WWFO) team is looking for an AI focused Solution Architect with expertise in evaluation of neural networks and agentic pipelines. A candidate with understanding of modern evaluation datasets and tools allowing to work with key model builders / AI application developers across EMEA to improve core models as well as end to end agentic pipelines. As Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your responsibilities will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to promote NVIDIA technologies.

This role focuses on the evaluation, analysis, and design of agentic AI systems, with a strong emphasis on LLMs and retrieval-based architectures. It involves benchmarking AI systems across diverse use cases and languages, evaluating performance across the end-to-end stack from LLMs and VLMs to embedding models. The position also requires deep analysis of system failures and the development of mitigation strategies, including model selection, retrieval pipeline optimization, and LLM or embedding model fine-tuning. We are looking for a candidate passionate about AI with strong expertise in neural network development and fine-tuning. The ideal candidate will be able to collaborate across customers, engineering teams, industry business development, and corporate marketing. In this role, you will work with the latest LLM, VLM, and embedding technologies that are redefining how people interact with intelligent systems.

What You’ll Be Doing

• 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 to 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.

What We Need To See

• 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.
• A proven record of academic and/or industry experience in fields related to machine learning, deep learning and/or data science with preference towards Deep Learning.
• 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

Ways To Stand Out From The Crowd

• Experience working on evaluating models whether that is in measuring memorization of models, security risks associated with hidden instructions, etc.
• Experience using evaluation tools with large models at scale.
• Understanding of large-scale distributed training.
• Experienced in evaluation approaches for reinforcement learning.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 292,500 PLN - 507,000 PLN. , , JR2014830