Senior Solutions Architect, Supercomputing
NVIDIA · Remote · Santa Clara, United States · 5mo ago
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 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.
We make heavy use of conferencing tools, but some travel is required for this role. Be empowered to find the best way to get your job done and do what it takes to make our partners and customers successful.
What we need to see:
Bachelors degree in Engineering, Mathematics, Physics, Computer Science or equivalent experience.
8+ 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.
Ways to stand out from the crowd:
Experience applying data science to industry problems.
Experience using GPGPU programming and design practices.
CUDA programming and optimization experience.
Experience 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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.