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NVIDIA’s Worldwide Field Operations (WWFO) team is seeking an AI-focused Solution Architect with expertise in evaluation of neural networks and agentic pipelines. This role involves working with key model builders and AI application developers across EMEA to improve core models and end-to-end agentic pipelines. As the first line of technical expertise between NVIDIA and customers, you will work with the latest LLM, VLM, and embedding technologies that are redefining intelligent systems.
Tasks
- 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 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 and plan suitable solutions for customers.
- Enable development and growth of product features through customer feedback and proof-of-concept evaluations.
- Build industry expertise and contribute to integrating NVIDIA technology into Enterprise Computing architectures.
- Benchmark AI systems across diverse use cases and languages, evaluating performance across the end-to-end stack from LLMs and VLMs to embedding models.
- Conduct deep analysis of system failures and develop mitigation strategies, including model selection, retrieval pipeline optimization, and LLM or embedding model fine-tuning.
Requirements
- MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields.
- 5+ years of hands-on experience in building and evaluating Deep Neural Networks.
- 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 such as Eval Harness or NVIDIA Evaluation Microservice, as well as agentic pipeline evaluation.
- Good understanding of modern evaluation benchmarks and ability to extend or build new benchmarks.
- Excellent verbal, written communication, and technical presentation skills in English.
- Experience working on evaluating models, including measuring memorization of models and security risks associated with hidden instructions.
- Experience using evaluation tools with large models at scale.
- Understanding of large-scale distributed training.
- Experience in evaluation approaches for reinforcement learning.
Benefits
- Highly competitive salaries.
- Comprehensive benefits package.
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NVIDIA Switzerland AG ist die Schweizer Gesellschaft des internationalen Technologieunternehmens NVIDIA. Das Unternehmen ist in der Entwicklung, Vermarktung und Bereitstellung von Technologien, Produkten und Dienstleistungen in Bereichen wie künstliche Intelligenz, beschleunigtes Computing, Grafikprozessoren, Robotik, virtuelle Realität, Informatik und professionelle Visualisierung tätig. NVIDIA entwickelt weltweit Chips, Systeme, Software und Plattformen für Rechenzentren, Forschung, Gaming, Automobilindustrie, Industrieanwendungen, Gesundheitswesen und weitere technologieintensive Branchen. Die Schweizer Gesellschaft unterstützt die Aktivitäten von NVIDIA in der Schweiz und ist im Bereich IT-Dienstleistungen registriert.