Solutions Architect, AI Models

About the role

We are looking for a Solutions Architect to join the AI Software Segment SA team. We specialize in the newest technology and advances in deep learning, Generative AI, and Cloud. The vision of the AI SW Segment team is to use our deep expertise, at the intersection of research and engineering, to guide and enable the successful adoption of NVIDIA AI software in the enterprise. If you are passionate about AI and how it can be applied to address real-world problems, you will work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.

Responsibilities

• Develop end-to-end AI solutions for enterprise use cases, helping customers adopt NVIDIA AI models and libraries by offering deep technical expertise.
• Tackle sophisticated AI challenges by applying skills across the AI model lifecycle—from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and model optimization.
• Support a broad model portfolio spanning LLMs, multimodal, retrieval, speech, content safety, and edge use cases.
• Partner with enterprise customers in co-design engagements—understanding their data, evaluation criteria, and success metrics to deliver customized AI solutions.
• Help improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, models, libraries, and AI applications.
• Contribute to the wider organization and community by sharing expert knowledge through open-source projects, product engineering, publishing findings, and delivering hands-on training.
• Serve as the face and trusted expert advisor for customers and partners, backed by NVIDIA’s Solution Architects, Product, Engineering, and Research teams.

Requirements

• Strong foundational expertise from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
• 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers.
• Proficiency in Python programming, software design, debugging, and performance analysis, with at least 5+ years of experience in a Linux environment.
• Hands-on experience with the AI model lifecycle, including evaluation, failure analysis, pre-training, post-training, RL, and model optimization.
• Expertise in distributed computing methodologies, including model and data parallelism.
• Experience with distributed computing tools like SLURM and Kubernetes for training and evaluating large models on GPUs.
• Ability to learn fast and quickly adapt to change.
• Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams.

Skills

• Experience with and/or contributions to open-source NVIDIA AI libraries and models, particularly Nemotron, NeMo, NeMo Framework, and NeMo-RL.
• Hands-on experience with data curation and analysis for model post-training and RL.
• Prior experience with AI model training techniques applied to multi-modal data (audio, image, and video).
• Knowledge of NVIDIA GPU/CPU architecture and its impact on software performance.
• Willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.

Pay

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 25, 2026.