below marketmost similar roles pay hereabove market
This role pays more than
50%
of similar roles. Most pay
$161,250–$235,750
— the blue band above.
At the midpoint, this role pays about
$197k
versus about
$198k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Solutions Architect, Infrastructure joins the NVIDIA Solutions Architecture team to lead the deployment and bring-up of next-generation Data Center GPUs and networking platforms for Hyperscaler customers. This role involves driving strategic alignment with Product teams, analyzing performance data to identify system bottlenecks, and solving complex technical problems involving GPUs, drivers, containers, and distributed system interactions. Candidates must possess hands-on experience with multi-GPU and multi-node architectures, high-performance networking like RDMA, and NVIDIA software stacks including CUDA, NCCL, and NVLink. Required skills include proficiency with Linux tools such as dmesg, nvidia-smi, and ipmitool, alongside deep knowledge of PCIe topologies, NUMA, and BIOS/UEFI configurations. The position focuses on accelerating the adoption of infrastructure technologies across worldwide cloud hosting providers and large enterprise environments.
What does a Solutions Architect earn in California?
Median $235750 from 57 postings across 11 companies.
Lead end-to-end execution for Hyperscaler customers to bring NVIDIA Data Center GPU and networking platforms to market at scale.
Drive strategic alignment with Product teams to co-define critical metrics and ensure unified direction across technical and sales organizations.
Solve complex technical problems involving GPUs, networking, drivers, containers, firmware, and distributed system interactions.
Analyze deployment and performance data to identify product health trends, system bottlenecks, and operational risks.
Deliver streamlined executive-level communication regarding project status, risks, progress, and required decisions.
Provide feedback to Product and Engineering teams to enable improvements in platform design, validation, and operational workflows.
Influence cross-functional teams to unblock paths for large-scale infrastructure deployment and adoption.
What we're looking for
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or similar, or equivalent experience.
4+ years experience in Solutions Architecture, Infrastructure Engineering, or similar technical roles.
Hands-on experience with bring-up and validation of large-scale NVIDIA GPU platforms, including multi-GPU and multi-node architectures.
Understanding of high-performance networking technologies like RDMA, congestion control, and high-bandwidth interconnects for distributed AI workloads.
Familiarity with NVIDIA system software stacks including CUDA, NCCL, NVSwitch/NVLink, driver behavior, and performance tuning.
Proficiency with Linux systems tools for identifying issues and evaluating performance, such as dmesg, journalctl, lspci, numactl, ethtool, and nvidia-smi.
Understanding of server hardware architecture, including PCIe topologies, system firmware, NUMA, BIOS/UEFI configuration, and power/thermal envelopes.
Understanding of BMC/IPMI/Redfish for remote management, hardware health monitoring, and out-of-band debugging.