Solutions Architect, Infrastructure

About the role

This position involves managing the deployment and integration of next-generation Data Center GPUs and networking platforms for major global customers. You will serve as the primary technical bridge between product strategy, cloud engineering, and large-scale infrastructure implementation.

Key facts

What you'll do

• Manage the end-to-end launch of Data Center GPU and networking platforms for Hyperscaler clients.
• Align with product teams to define success metrics and ensure technical consistency across sales and engineering departments.
• Coordinate across internal groups and external customers to remove obstacles and accelerate deployment timelines.
• Monitor deployment data to track product health, identify operational risks, and detect system bottlenecks.
• Troubleshoot complex issues involving firmware, drivers, containers, and distributed system interactions.
• Provide status updates and decision-making support to executive leadership.
• Contribute to future platform design and operational workflows through feedback to engineering teams.

Requirements

• BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, or equivalent practical experience.
• Minimum of 4 years in infrastructure engineering or solutions architecture.
• Practical experience validating and bringing up large-scale NVIDIA GPU platforms, including multi-node and multi-GPU setups.
• Knowledge of high-performance networking, including RDMA and congestion control for AI workloads.
• Proficiency with NVIDIA software stacks such as CUDA, NCCL, NVLink, and NVSwitch.
• Expertise in Linux performance tools like nvidia-smi, ethtool, perf, numactl, lspci, and container-level utilities.
• Deep understanding of server hardware, including PCIe topologies, BIOS/UEFI, NUMA, and thermal management.
• Experience with out-of-band management via Redfish, IPMI, or BMC.
• Strong grasp of Linux kernel subsystems, cgroups, and driver architecture.

Nice to have

• Experience with cloud infrastructure, including instance types and networking primitives at major Cloud Service Providers.
• Proven ability to lead cross-functional teams through complex infrastructure challenges.
• Background in transitioning hardware products from pilot phases to high-volume data center production.
• Familiarity with distributed training, inference, and modern LLM architectures.

Skills & tools

• Linux (drivers, kernel, cgroups, containers)
• NVIDIA stack (CUDA, NCCL, NVLink, NVSwitch)
• Hardware management (BMC, IPMI, Redfish, BIOS/UEFI)
• Networking (RDMA, high-bandwidth interconnects)
• Performance analysis (dmesg, journalctl, lspci, numactl, ethtool, iostat, perf, nvidia-smi, top/htop)

Practical notes

• Salary range for Level 3: 152,000 USD to 241,500 USD.
• Salary range for Level 4: 184,000 USD to 287,500 USD.
• Compensation includes equity and benefits.
• Application deadline: July 11, 2026.
• NVIDIA utilizes AI tools during the recruitment process.
• NVIDIA is an equal opportunity employer.