解决方案架构师 - 深度神经网络评估
Solutions Architect - Deep Neural Network Evaluation
NVIDIA全球现场运营（WWFO）团队正在寻找一位专注于AI的解决方案架构师，具备神经网络评估和代理流程的专业知识。候选人需了解现代评估数据集和工具，能够与EMEA地区的关键模型开发者/AI应用开发者合作，提升核心模型以及端到端代理流程。作为解决方案架构师，你将成为NVIDIA与客户之间的第一线技术专家。你的职责将从开发概念验证演示，到与关键高管和经理建立关系，以推广NVIDIA技术。
该职位专注于代理AI系统的评估、分析和设计，重点在于大语言模型（LLMs）和基于检索的架构。需要在多种使用场景和语言中对AI系统进行基准测试，评估从LLMs和视觉语言模型（VLMs）到嵌入模型的整个堆栈性能。该职位还需要深入分析系统故障并制定缓解策略，包括模型选择、检索流程优化，以及LLM或嵌入模型的微调。我们希望找到一位对AI充满热情，具备神经网络开发和微调专业知识的候选人。理想的候选人能够在客户、工程团队、行业业务发展和企业市场营销之间进行协作。在此职位上，你将使用最新的LLM、VLM和嵌入技术，这些技术正在重新定义人们与智能系统互动的方式。
你将负责：
- 直接与关键客户合作，了解他们的技术需求并提供最佳解决方案。
- 推动NVIDIA开源评估工具（NeMo）的采用，并帮助社区开发模型鲁棒性测量的标准方法。
- 基于NVIDIA和开源LLM技术开发并展示解决方案，并将其集成到代理流程中。
- 与工程、产品和销售团队合作，为客户提供最适合的解决方案。通过客户反馈和概念验证评估推动产品功能的开发和增长。
- 建立行业专业知识，并成为将NVIDIA技术整合到企业计算架构中的贡献者。
我们需要看到：
- 计算机科学、数据科学、电气/计算机工程、物理、数学或其他工程领域的硕士/博士或同等经验。
查看英文原文
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
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.Originally posted on Himalayas