NVIDIA
AI Software
SolutionsArchitect,AIModels
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect, AI Models at NVIDIA. Skills: AI, deep learning, Generative AI, NVIDIA AI software, AI model lifecycle, distributed computing, Python. developing end-to-end AI solutions for enterprise use cases. helping customers adopt NVIDIA AI models and libraries”
What You'll Achieve.
successful adoption of NVIDIA AI software in the enterprise; address real-world problems; design and build enterprise AI solutions; deliver customized AI solutions; improve NVIDIA products; bring NVIDIA technology to life in the Enterprise
Industry & Context.
solve hard problems; Tackle sophisticated AI challenges; dig into unfamiliar territories to solve complex problems
What They're Looking For.
Must Have
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
Nice to Have
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
What You'll Do.
developing end-to-end AI solutions for enterprise use cases
helping customers adopt NVIDIA AI models and libraries
Tackling sophisticated AI challenges across the AI model lifecycle
Supporting a broad model portfolio
Partnering with enterprise customers in co-design engagements
understanding customer data
delivering customized AI solutions
improving NVIDIA products
building creative solutions to overcome scaling challenges
sharing expert knowledge
contributing to open-source projects
delivering hands-on training
How You'll Work.
Team & Collaboration
work closely with customers and partners; Partner with enterprise customers in co-design engagements; collaborate with executives and engineering teams; backing of all of NVIDIA, including other Solution Architects, Product, Engineering and Research teams; trusted advisor that our customers and partners rely on
Communication Scope
Clear written and oral communications skills; ability to effectively collaborate with executives and engineering teams
Full Job Description
Do you want to be part of the team that brings innovative Artificial Intelligence (AI) from research to reality? 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, we should talk. NVIDIA is the world leader in GPU accelerated computing and AI and is looking for developers like you to design and build enterprise AI solutions using our newest technology. 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 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. * 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, models, libraries, and AI applications. * Contribute to the wider organization and community by sharing your expert knowledge. This can vary from c
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