Used Tools & Technologies
Not specified
Required Skills & Competences ?
Docker @ 3 Kubernetes @ 3 DevOps @ 3 Python @ 3 Statistics @ 3 GCP @ 3 Machine Learning @ 3 MLOps @ 3 Data Science @ 3 TensorFlow @ 6 AWS @ 3 Azure @ 3 Communication @ 6 Parallel Programming @ 2 Debugging @ 3 PyTorch @ 6 CUDA @ 2 Cloud Computing @ 3 GPU @ 3Details
NVIDIA is building the world’s leading AI company, and we are looking for an experienced Cloud Solution Architect to help assist customers with adoption of GPU hardware and software, as well as building and deploying Machine Learning (ML), Deep Learning (DL), and data analytics solutions on various cloud computing platforms. As part of the Solutions Architecture team, you will work with cutting-edge computing hardware and software technologies, engage directly with developers, researchers, and data scientists at strategic customer accounts, and collaborate with business and engineering teams on product strategy. You will drive end-to-end technology solutions applying NVIDIA’s full set of technologies based on customer business needs.
Responsibilities
- Work with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s ML/DL and data science software and hardware technologies.
- Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom proofs-of-concept (PoCs) that address customers’ critical business needs using NVIDIA hardware and software technology.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure new business opportunities for NVIDIA products and ML/DL solutions.
- Prepare and deliver technical content to customers, including presentations, workshops, and demos about purpose-built solutions and NVIDIA products.
- Conduct regular technical customer meetings for project/product roadmaps, feature discussions, and introductions to new technologies. Establish close technical ties to customers to facilitate rapid resolution of issues.
- Participate in occasional on-site customer visits and industry events (some travel required).
Requirements
- 3+ years of Solutions Engineering or similar Sales Engineering experience (or equivalent).
- 3+ years of hands-on experience in Deep Learning and Machine Learning, including experience with deep learning frameworks such as TensorFlow or PyTorch.
- Experience with GPUs and familiarity with CUDA is extremely helpful.
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or related engineering field, or equivalent experience.
- Established track record of deploying solutions in cloud computing environments (AWS, GCP, or Azure).
- Knowledge of DevOps / MLOps technologies such as Docker/containers, Kubernetes, and data center deployments.
- Ability to use at least one scripting language (e.g., Python).
- Good programming and debugging skills.
- Strong written and verbal communication skills; ability to communicate ideas and code clearly through documents and presentations.
Ways To Stand Out
- AWS, GCP, or Azure Professional Solution Architect Certification.
- Hands-on experience with NVIDIA GPUs and SDKs (e.g., CUDA, RAPIDS, Triton).
- System-level experience specifically with GPU-based systems.
- Experience with Deep Learning at scale.
- Familiarity with parallel programming and distributed computing platforms.
Benefits & Other Details
- Base salary will be determined based on location, experience, and pay of employees in similar positions.
- Base salary ranges provided: Level 2: 120,000 USD - 189,750 USD; Level 3: 148,000 USD - 235,750 USD.
- You will also be eligible for equity and benefits (see NVIDIA benefits page).
- Occasional travel required for on-site customer visits and industry events.
- Applications accepted at least until October 17, 2025.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment.