Solutions Architect, AI Models

Do you want to be part of the team that brings innovative Artificial Intelligence (AI) from research to reality? We are looking for a Solution Architect to join the NVIDIA AI Enterprise (NVAIE) SA Segment team. We specialize in the newest technology and advances in deep learning, Generative AI, and Cloud. The vision of the NVAIE 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!

As a member of the Solution Architecture team, you will work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.

What You’ll Be Doing

• A huge part of our work involves developing end-to-end AI solutions for enterprise use cases. We help customers adopt NVIDIA AI SDKs and APIs by offering deep technical expertise.

• Tackle sophisticated AI challenges by applying skills across the AI model lifecycle—from data preprocessing and orchestration to training, post-training, evaluation, and optimized deployment.

• Guide customers in implementing next-generation model distillation, domain adaption, reinforcement learning (RL) and post-training algorithms, using NVIDIA frameworks.

• As we work with customers across multiple industries, we help improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, libraries, and AI applications.

• Contribute to the wider organization and community by sharing your expert knowledge. This can vary from contributing to open-source projects and product engineering to publishing findings and delivering hands‑on training.

What We Need To See

• 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 Tensor Flow, 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 full AI model lifecycle, including pre‑training, supervised fine‑tuning, post‑training techniques such as reinforcement learning (RL), and model evaluation.

• Expertise in distributed computing methodologies, including model and data parallelism.

• Experience with distributed computing tools, like SLURM and Kubernetes, for training 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.

Ways To Stand Out From The Crowd

• Experience with and/or contributions to open‑source NVIDIA AI Enterprise deep learning libraries and frameworks, particularly NeMo, Megatron Core, or NeMo‑RL.

• Hands‑on experience in large‑scale foundation model training, accuracy, and performance profiling.

• 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.

• Show willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 21, 2025.

We are committed to fostering a diverse work environment and are proud to be an equal‑opportunity employer. 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.

Santa Clara, CA

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