NVIDIA seeks an experienced Infrastructure Solutions Architect to join its dynamic team, focusing on the strategic launch and global expansion of next-generation Data Center GPUs and networking platforms. This role involves leading end-to-end execution for Hyperscaler customers, driving alignment with product teams, and solving complex technical issues related to GPU deployment and performance optimization. The ideal candidate will possess hands-on expertise in large-scale NVIDIA platform validation, proficiency with Linux systems tools, and a deep understanding of high-performance networking technologies. Additionally, familiarity with modern deep learning architectures and distributed training challenges is essential. This position requires strong leadership skills to influence multi-functional teams and deliver executive-level communication on critical issues, ensuring seamless scale-up for worldwide cloud hosting providers and large enterprises.
Skills
NVIDIA
CUDA
NCCL
NVSwitch
Linux
dmesg
journalctl
lspci
numactl
ethtool
iostat
perf
nvidia-smi
top/htop
ipmitool
BMC/IPMI/Redfish
PCIe
NUMA
BIOS/UEFI
cgroups
containers
RDMA
container-level tooling
What you'll do
Lead the end-to-end execution for Hyperscaler customers to bring NVIDIA Data Center GPUs and networking platforms to market at scale.
Drive strategic alignment between product teams and customer deployments by co-defining critical metrics and ensuring unified direction.
Analyze deployment data to identify trends, system bottlenecks, and operational risks in large-scale GPU environments.
Solve complex technical problems involving GPUs, networking, drivers, containers, firmware, and distributed systems interactions.
Deliver executive-level communication on status, risks, progress, and required decisions for NVIDIA technology deployments.
What we're looking for
4+ years experience in Solutions Architecture or Infrastructure Engineering roles.
Hands-on expertise in bringing up and validating large-scale NVIDIA GPU platforms.
Proficiency with Linux system tools for performance evaluation and issue identification.
Understanding of high-performance networking technologies and their role in distributed AI workloads.
Strong knowledge of server hardware architecture, including PCIe topologies and firmware configurations.
Ability to identify and resolve performance bottlenecks at various levels (cluster, node, network).
Demonstrated leadership in resolving multi-team infrastructure challenges across diverse technical teams.
Market check
Salary context
Competitive pay
How this pay compares to similar roles
Similar $188k
This role $197k
$126k
most similar roles pay here
$254k
This role pays more than
62%
of similar roles. Most pay
$153,041–$223,775
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$188k
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
855 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 843 roles with salary data.