NVIDIA
Overview
Do you want to drive the future of AI by building agentic AI applications at scale? We are looking for Solution Architects to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team to help redefine how enterprises build and deploy AI agents. We specialize in the newest technology and advances in Machine Learning, Deep Learning and Generative AI. The vision of the NVAIE Segment team is to guide and enable the successful adoption at scale of NVIDIA AI Enterprise Software in production. Responsibilities
The Agentic AI team mission is to deliver innovative and optimized AI agents using the latest techniques including Test Time Compute, Reinforcement Learning, inference optimization and model fine-tuning. We specialize in engineering new solutions to fit our customers’ needs by integrating their enterprise data sources into meaningful agentic applications. You’ll work with agentic frameworks to develop applications that retrieve and generate insights from enterprise data, including text, code, and images. Your focus will be on creating high-impact solutions such as deep research assistants, multi-modal dialogue systems, and task-specific agents that support a wide range of enterprise workflows. You’ll be deeply engaged with engineering teams, stay ahead of the latest AI advancements, and apply strong technical judgment to everything you deliver. Provide direct feedback from these first-time implementations to improve our software products and scale knowledge by educating vertical teams and building communities on NVIDIA AI software products. Requirements
Strong foundational expertise, from a BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience). 5+ years of experience in Deep Learning and Machine Learning. Strong software engineering and debugging skills, including experience with Python, C/C++, and Linux. Experience with GPUs and deep learning frameworks such as TensorFlow or PyTorch. Proficiency in rapid prototyping using Python with strong knowledge of data structures, algorithms, and software engineering principles. Experience with building advanced multi-agent systems, using libraries like LangGraph, LlamaIndex, CrewAI. Ability to multitask effectively in a dynamic environment, with clear written and oral communication skills to collaborate with executives and engineering teams. Ways to Stand Out
Expertise in building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks to ensure agentic AI workflows are safe, reliable, and production-ready. Skilled in fine-tuning and optimizing reasoning-focused LLMs and SLMs, including prompt engineering, quantization, and benchmarking. Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 7, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate 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. JR2002855
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Do you want to drive the future of AI by building agentic AI applications at scale? We are looking for Solution Architects to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team to help redefine how enterprises build and deploy AI agents. We specialize in the newest technology and advances in Machine Learning, Deep Learning and Generative AI. The vision of the NVAIE Segment team is to guide and enable the successful adoption at scale of NVIDIA AI Enterprise Software in production. Responsibilities
The Agentic AI team mission is to deliver innovative and optimized AI agents using the latest techniques including Test Time Compute, Reinforcement Learning, inference optimization and model fine-tuning. We specialize in engineering new solutions to fit our customers’ needs by integrating their enterprise data sources into meaningful agentic applications. You’ll work with agentic frameworks to develop applications that retrieve and generate insights from enterprise data, including text, code, and images. Your focus will be on creating high-impact solutions such as deep research assistants, multi-modal dialogue systems, and task-specific agents that support a wide range of enterprise workflows. You’ll be deeply engaged with engineering teams, stay ahead of the latest AI advancements, and apply strong technical judgment to everything you deliver. Provide direct feedback from these first-time implementations to improve our software products and scale knowledge by educating vertical teams and building communities on NVIDIA AI software products. Requirements
Strong foundational expertise, from a BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience). 5+ years of experience in Deep Learning and Machine Learning. Strong software engineering and debugging skills, including experience with Python, C/C++, and Linux. Experience with GPUs and deep learning frameworks such as TensorFlow or PyTorch. Proficiency in rapid prototyping using Python with strong knowledge of data structures, algorithms, and software engineering principles. Experience with building advanced multi-agent systems, using libraries like LangGraph, LlamaIndex, CrewAI. Ability to multitask effectively in a dynamic environment, with clear written and oral communication skills to collaborate with executives and engineering teams. Ways to Stand Out
Expertise in building evaluation harnesses, success metrics, automated testing pipelines, and guardrail frameworks to ensure agentic AI workflows are safe, reliable, and production-ready. Skilled in fine-tuning and optimizing reasoning-focused LLMs and SLMs, including prompt engineering, quantization, and benchmarking. Experience developing production-grade deployment patterns using Kubernetes/OpenShift, CI/CD automation, and secure cloud-native infrastructure. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 7, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and do not discriminate 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. JR2002855
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