NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
At NVIDIA, innovation and excellence fuel our work. Our Solutions team seeks a Senior Solutions Architect for our CRISP System-Networking to increase the use of NVIDIA networking products among our clients. This is a remarkable opportunity to engage with the latest technology. You will work alongside a team of world-class engineers to create the future of computing. If you bring proven experience in networking protocols, server I/O, NIC virtualization, and high-performance networking software stacks, this position suits you perfectly!
What you'll be doing:Drive technical engagement, solution design, and deployment of NVIDIA networking products , including ConnectX NICs, BlueField DPUs, and related software stacks.
Understand customer networking requirements across AI, HPC, cloud computing, storage, virtualization, container platforms, and enterprise data centers.
Design and validate end-to-end network architectures connecting servers, switches, NICs, DPUs, GPUs, and storage systems, from single-node deployments to large-scale clusters.
Support proof-of-concept projects, cluster bring-up, performance validation, deployment readiness, production issue resolution, and customer acceptance testing.
Analyze network performance, including throughput, latency, packet loss, congestion, RDMA efficiency, and system bottlenecks.
Provide architecture and optimization guidance for NIC virtualization, hardware offload, RDMA, RoCE, DPDK, SPDK, Open vSwitch, and related technologies.
Work closely with NVIDIA product, software, firmware, driver, systems engineering, and sales teams to resolve customer issues and improve solution readiness.
Collaborate with OEMs, ODMs, switch vendors, server vendors, and software partners on platform compatibility, firmware, BIOS/BMC configuration, PCIe topology, and system validation.
Develop technical presentations, solution guides, deployment documentation, performance reports, best-practice materials, and customer training content.
Gather customer requirements and field feedback related to product functionality, performance, interoperability, manageability, and deployment challenges.
5 years above working experience and Bachelor's degree in Engineering, Computer Science, or comparable experience.
Strong knowledge of NICs, DPUs , and their hardware architecture, capabilities, deployment models, drivers, firmware, and diagnostic tools.
Solid understanding of SmartNIC/DPU offload technologies, including RDMA, RoCE, TCP/UDP offload, overlay offload, encryption offload, virtual switching offload, and flow-processing acceleration.
Strong knowledge of Ethernet and data center networking protocols, including L2/L3 forwarding, VLAN, VXLAN, , TCP/IP, UDP, ARP, IPv6, MTU, and Jumbo Frames.
Familiarity with network virtualization and acceleration technologies, including SR-IOV, VirtIO, vDPA, PCIe passthrough, IOMMU, PF/VF, RSS, RPS, XPS, DPDK, SPDK, Open vSwitch, and OVS-DPDK.
Familiarity with virtualization and cloud-native networking environments, including KVM, VMware, Kubernetes, CNI, Multus, SR-IOV CNI, OpenStack Neutron, OVN, and NFV.
Familiarity with server platform technologies, including BIOS, BMC, UEFI, Redfish/IPMI, Secure Boot, firmware lifecycle management, system bring-up, and hardware compatibility validation.
Hands-on experience with lossless Ethernet and congestion-management technologies, including QoS, PFC, ECN, DCQCN, traffic shaping, queue management, and congestion control.
Experience designing, deploying, and troubleshooting Leaf-Spine, Clos, L2/L3 Fabric, AI cluster, RoCE, or InfiniBand network topologies.
Familiarity with NVIDIA's networking and GPU technology.
Strong leadership and project management skills.
Excellent communication skills and ability to work across diverse teams.
Join us and be part of a team that’s defining the next era of computing!
Skills Required
- At least 5 years of relevant professional experience
- Bachelor's degree in Engineering, Computer Science, or comparable experience
- Strong knowledge of NICs, DPUs, hardware architecture, deployment models, drivers, firmware, and diagnostic tools
- Solid understanding of SmartNIC and DPU offload technologies, including RDMA, RoCE, TCP/UDP offload, overlay offload, encryption offload, virtual switching offload, and flow-processing acceleration
- Strong knowledge of Ethernet and data center networking protocols, including L2/L3 forwarding, VLAN, VXLAN, TCP/IP, UDP, ARP, IPv6, MTU, and jumbo frames
- Familiarity with network virtualization and acceleration technologies, including SR-IOV, VirtIO, vDPA, PCIe passthrough, IOMMU, PF/VF, RSS, RPS, XPS, DPDK, SPDK, Open vSwitch, and OVS-DPDK
- Familiarity with virtualization and cloud-native networking environments, including KVM, VMware, Kubernetes, CNI, Multus, SR-IOV CNI, OpenStack Neutron, OVN, and NFV
- Familiarity with server platform technologies, including BIOS, BMC, UEFI, Redfish/IPMI, Secure Boot, firmware lifecycle management, system bring-up, and hardware compatibility validation
- Hands-on experience with lossless Ethernet and congestion-management technologies, including QoS, PFC, ECN, DCQCN, traffic shaping, queue management, and congestion control
- Experience designing, deploying, and troubleshooting Leaf-Spine, Clos, L2/L3 Fabric, AI cluster, RoCE, or InfiniBand network topologies
- Familiarity with NVIDIA networking and GPU technology
- Strong leadership and project management skills
- Excellent communication skills and ability to work across diverse teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
