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# Solutions Architect, AI Models

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Programming, Microarchitecture, Software Debugging, Linux, Distributed Systems, Machine Learning, Open Source Technology, Tensorflow, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Kubernetes, Information Technology, HuggingFace, Slurm, Software Performance
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_ScrapingHub33470-JR2002944

## About the Role

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 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 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 communications 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 libraries and models, particularly Nemotron, NeMo, NeMo Framework, 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. + Show willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.