Solutions Architect - AI Networking and Storage

NVIDIA is seeking outstanding Solutions Architects to assist and support OEM customers in building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?

You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on Enterprise AI solutions. You should be comfortable working in a multifaceted environment and have experience with the storage and networking demands for Generative AI, LLMs, Deep Learning, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team using the latest technologies at NVIDIA!
 

What You Will Be Doing:

• Closely coordinate with the OEM Global Account Managers (GAMs) in order to work on prioritized customer platforms, software stacks and solutions that map to critical business priorities

• Work with OEM partners to architect enterprise grade storage solutions with a focus on scalable performance and data durability

• Training OEM technologists and field specialists on AI storage and networking solution offerings from NVIDIA.

• Work as a key member of our OEM team as a technical authority on NVIDIA products

• Some travel to conferences and customers may be required (20%)

What We Need To See:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

• 8+ Years proven experience as a solution architect or technical presales role

• Experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions

• Hands-on experience with high-performance storage systems: Lustre, GPFS, Ceph, distributed object storage, enterprise SAN/NAS

• Excellent interpersonal skills, including the ability to explain complex technical topics to non-expert

• Proven track record exemplifying how you have assisted customers from bring-up, through testing, through GTM readiness

Ways To Stand Out From The Crowd:

• Experience crafting and operating RDMA-accelerated HPC/AI clusters at scale, with hands-on expertise with network topologies and large-scale switch/router deployments

• Background in jointly developing storage networks for AI/ML training pipelines, large-scale inference, and agentic AI workflows.

• Proficiency in hybrid cloud storage and networking solutions (like Kubernetes CSI, cloud-native fabrics, and hybrid on-prem/cloud setups).

• Experience with NVIDIA GPUs and software libraries, such as NVIDIA NIM, NVIDIA NeMo Framework, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM

• Experience with large-scale cluster bring-up and operation.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

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.