Solutions Architect, AI and ML
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
NVIDIA is seeking an experienced Cloud Solution Architect to assist customers with adopting GPU hardware and software, and to build and deploy Machine Learning, Deep Learning, and data analytics solutions on various cloud computing platforms.
As part of the Solutions Architecture team, you will engage directly with developers, researchers, and data scientists at strategic technology customers, and work 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, working with some of the most exciting computing hardware and software technologies in AI and data science.
Key responsibilities
- Working 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 PoCs for solutions that address customer's critical business needs applying 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 solutions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops, and product overviews.
- Conduct regular technical customer meetings for project and product roadmap, feature discussions, and introductions to new technologies.
Qualifications
- 4+ years of Solutions Engineering or similar Sales Engineering roles.
- 3+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU, and CUDA experience extremely helpful.
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or other Engineering fields or equivalent experience.
- Established track record of deploying solutions in cloud computing environments including AWS, GCP, or Azure.
- Knowledge of DevOps/ML Ops technologies such as Docker/containers, Kubernetes, and data center deployments.
- Ability to use at least one scripting language (i.e., Python).
- Good programming and debugging skills.
- Ability to communicate your ideas and code clearly through documents and presentations.
Nice to have
- AWS, GCP, or Azure Professional Solution Architect Certification.
- Hands-on experience with NVIDIA GPUs and SDKs (e.g., CUDA, RAPIDS, Triton, etc.).
- System-level experience specifically GPU-based systems.
- Experience with Deep Learning at scale.
- Familiarity with parallel programming and distributed computing platforms.
Benefits
- Base salary range of 152,000 USD - 241,500 USD for Level 3.
- Base salary range of 184,000 USD - 287,500 USD for Level 4.
- Eligibility for equity and benefits.
Job details
- Location: Remote / Cloud computing environments / Customer sites as needed.
Minimum Experience
- 4+ years in Solutions Engineering or similar roles.
Application Deadline
Applications will be accepted at least until October 27, 2026.
Travel Requirements
- Occasional travel required for local on-site visits to customers and industry events.
About the company
NVIDIA is building the world's leading AI company, widely considered to be one of the technology world's most desirable employers with forward-thinking and hardworking people. If you are creative and autonomous, we want to hear from you.
Additional information
- Base salary is determined based on location, experience, and the pay of employees in similar positions.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
