NVIDIA
HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI
SolutionsArchitect,Supercomputing
Neural analysis suggests this role is
optimal for Senior candidates.
“Solutions Architect, Supercomputing at NVIDIA. Skills: Solutions Architecture, NVIDIA Technology Integration, AI Workloads and Workflows, HPC, Enterprise GPU and networking architectures, Customer and Partner Technical Engagements. Engage with customers, partners, and NVIDIA software engineers. Collaborate with developers to support applications and platforms leveraging NVIDIA technology”
What You'll Achieve.
Help pursue more opportunities in HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI; Become a trusted technical advisor and leader to partners and customers; Be the trusted advisor for the solutions architects on your team; Make our partners and customers successful
Industry & Context.
Analytical skills; Problem-solving skills; Working through hard problems with a customer on a whiteboard
Security clearance, U. S. citizenship, Some travel is required
What They're Looking For.
Must Have
5+ years of work-related experience in data science or software development with knowledge of parallel computing with GPUs, Background working with modern application deployment practices including but not limited to Slurm, Docker/Containers, and Kubernetes, Experience with modern Generative AI and Agentic AI architecture and frameworks, written and oral communication skills with the ability to effectively collaborate with accounts, customers, management, and engineering, Experience supporting customers/partners in technical engagements, organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects, analytical and problem-solving skills
Nice to Have
Experience applying data science to industry problems, Experience using GPGPU programming and design practices, CUDA programming and optimization experience, Background with network software development, Experience with AI: Published record of thought leadership in a technical area or industry segment - Deep Neural Network, Machine Learning R&D - Agentic AI, surrogate Models, or foundation models
What You'll Do.
Engage with customers
and NVIDIA software engineers
Collaborate with developers to support applications and platforms leveraging NVIDIA technology
Develop a keen understanding of customer goals
Define and deliver high-value solutions meeting customer needs
Document knowledge and teach others (building samples
Work through hard problems with customers
Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows
and enterprise GPU and networking architectures
Strategically partner with lighthouse customers and industry-specific solution partners
Support customers/partners in technical engagements
How You'll Work.
Team & Collaboration
Collaborate with developers; Engage with internal developers, scientific researchers, data scientists, IT managers and senior leaders; Partner with industry and account teams; Collaborate with accounts, customers, management, and engineering; Work through hard problems with a customer on a whiteboard
Communication Scope
Written communication skills; Oral communication skills; Ability to effectively collaborate with accounts, customers, management, and engineering; Educating customers through product roadmaps/presentations/briefings; Hands-on engagement with developers
Process & Methodology
Coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects
Full Job Description
We are looking for a Solutions Architect to join a team to engage with customers, partners, and other NVIDIA software engineers to collaborate with developers and support applications and platforms that leverage NVIDIA technology that will be adopted across all industry segments. At NVIDIA, our Solutions Architects are drawn from elite developers and scientists who enjoy working with the latest in GPU and Networking hardware and software! NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading companies and start-ups. Our success has been the result of a vertical focus on industry business development, building a strong developer ecosystem, and scaling out the business using a broad partner channel including Hardware manufacturers and Cloud Service Providers. We need a passionate, hardworking, and creative individual to help us pursue more of these opportunities in HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform industries. In addition, you will be the trusted advisor for the solutions architects on your team. A Solutions Architect is the bridge of technical expertise between our industry teams, our partners and customers. Dynamically engaging with internal developers, scientific researchers, data scientists, IT managers and senior leaders is an important part of the Solutions Architect role and will give you experience with a range of partners and concerns. This position requires a security clearance and U.S. citizenship. **What you 'll be doing:** * Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical
Applying for this Solutions Architect, Supercomputing role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about NVIDIA?
Real rants from real employees. Read before you apply.