Solutions Architect, Supercomputing

NVIDIA • Us, TX

2d

About The Position

NVIDIA is seeking a Solutions Architect to join a team that engages with customers, partners, and NVIDIA software engineers to support applications and platforms leveraging NVIDIA technology across various industry segments. Solutions Architects at NVIDIA are elite developers and scientists passionate about working with the latest GPU and Networking hardware and software. NVIDIA's platforms for machine learning, deep learning, and high-performance computing have significantly impacted leading companies and start-ups, driven by a vertical focus on industry business development, a strong developer ecosystem, and a broad partner channel including hardware manufacturers and cloud service providers. The ideal candidate is a passionate, hardworking, and creative individual who will help pursue opportunities in HPC, Machine Learning (ML), AI Physics, Foundation Modeling, Physical AI, and Agentic AI. This role involves becoming a trusted technical advisor and leader to partners and customers who view deep learning, data science, and artificial intelligence as a transformative computing revolution. Additionally, the Solutions Architect will serve as a trusted advisor for other solutions architects on their team, bridging technical expertise between industry teams, partners, and customers. Dynamic engagement with internal developers, scientific researchers, data scientists, IT managers, and senior leaders is a crucial aspect of the role. This position requires a security clearance and U.S. citizenship.

Requirements

• Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
• 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.
• Strong written and oral communication skills with the ability to effectively collaborate with accounts, customers, management, and engineering. A big part of this role is educating our customers, whether that be through product roadmaps/presentations/briefings or hands-on engagement with developers.
• Experience supporting customers/partners in technical engagements.
• Strong organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
• Strong analytical and problem-solving skills.

Nice To Haves

• 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.

Responsibilities

• Partner with our industry and account teams in a customer facing role to develop a keen understanding of customer goals, strategies, and technical needs as well as help to define and deliver high-value solutions meeting these needs.
• Document what you know and teach others. This can vary from building targeted samples, to writing white papers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.
• Be an industry leader with vision on integrating NVIDIA technology into AI Workloads and Workflows, HPC, and enterprise GPU and networking architectures for advanced applications both in the datacenter and at the edge.
• Strategically partner with lighthouse customers and industry-specific solution partners targeting our computing platform.
• Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.

Benefits

• equity and benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees