Solutions Architect, Applied AI

🕒 September 2, 2025

🏄 California – Remote

🏄 California – Remote

💵 $148k - $235.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Develop end-to-end AI solutions for enterprise use cases • Help customers adopt NVIDIA AI SDKs and APIs and design GPU-accelerated pipelines to optimize compute utilization and performance • Build solutions using deep learning technologies: language and multimodal models, information retrieval, domain customization, reinforcement learning, reasoning, inferencing, agentic systems • Build reference architectures to deploy and optimize workloads at large scale • Improve NVIDIA products through engineering contributions and build creative solutions to scaling challenges • Deliver hands-on training and share expert knowledge across the organization and community • Act as the face and trusted expert advisor for customers and partners

🎯 Requirements

• BS, MS, or Ph.D. in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience) • 5+ years experience using deep learning frameworks and libraries such as PyTorch, Tensorflow/Keras, Hugging Face Transformers, Megatron-LM, and DeepSpeed • Expertise running deep learning jobs on GPUs using SLURM and Kubernetes • 5+ years experience with Python and Linux; demonstrated coding and debugging skills • Hands-on experience customizing AI models: distillation, pre-training, supervised finetuning, reinforcement learning, reasoning, evaluation, guard railing, and data curation • Demonstrated expertise in accuracy and performance profiling and optimization for AI training and inference workloads • Ability to learn fast and adapt to change • Clear written and oral communication skills; ability to collaborate with executives and engineering teams • (Nice to have) Background with NVIDIA AI Enterprise software (NeMo), experience training foundational models, experience on high-performance NVIDIA GPU computing clusters, extensive engineering and customer collaboration experience • (Nice to have) Willingness and ability to dig into unfamiliar territories to solve complex problems

🏖️ Benefits

• Eligible for equity • Eligible for benefits