Job description

We are looking for a Senior Solutions Architect specializing in Data Center Systems & Performance to join our elite solutions architecture team. In this role, you will work at the intersection of groundbreaking hardware and complex software stacks. As a Solutions Architect, you will act as a pivotal technical expert uniting engineering, field teams, and customers with highly intensive requirements. You will be responsible for analyzing and optimizing the performance of world-class AI, deep learning, and HPC ecosystems. Come join us! What you'll be doing: • Work together with our partners and customers to identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems. • Complete and maintain robust performance benchmarking suites to stress-test high-performance clusters and establish performance baselines. • Apply industry-standard performance tools to monitor hardware performance counters and extract deep system telemetry. • Deeply investigate system and software configurations to find and fix subtle discrepancies that impact peak performance. • Partner closely with internal engineering units and outside collaborators and customers to collectively develop solutions and boost infrastructure performance. What we need to see: • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). • 8+ years of work-related experience in the high-tech industry, particularly in system build, performance analysis, and technical customer-facing roles. • A strong understanding of how CPUs, GPUs, and high-speed networking fabrics interact within massive clusters. • Practical experience with performance counters, profiling tools, and telemetry collection systems (e.g., Perf, eBPF, Prometheus, Grafana). • Practical experience working with containers, cloud provisioning, and scheduling tools such as Docker, Docker Swarm, Kubernetes, SLURM, Ansible. • Proven track record of transforming raw logs and telemetry into structured time series data, dashboards, and heat maps. • The ability to translate complex, low-level technical performance anomalies into clear, actionable narratives for cross-functional teams. • Strong collaborative skills and a proven history of building successful relationships across diverse engineering and operations teams. Ways to stand out from the crowd: • Deep knowledge of multi-GPU communication libraries like NCCL, and how they optimize inter-GPU topologies. • Deep, hands-on experience working directly with NVIDIA hardware architectures, NVLink, NVSwitch, or NVIDIA Nsight tools. • Practical experience optimizing distributed AI training workloads, LLMs, or large-scale high-performance computing environments. • Experience developing or integrating Agentic AI frameworks to autonomously parse telemetry logs, diagnose configuration drifts, or automate cluster triage. 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 June 8, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.

Requirements

Must-haves

Work together with our partners and customers to identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems.
Complete and maintain robust performance benchmarking suites to stress-test high-performance clusters and establish performance baselines.
Apply industry-standard performance tools to monitor hardware performance counters and extract deep system telemetry.
Deeply investigate system and software configurations to find and fix subtle discrepancies that impact peak performance.
Partner closely with internal engineering units and outside collaborators and customers to collectively develop solutions and boost infrastructure performance.
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
8+ years of work-related experience in the high-tech industry, particularly in system build, performance analysis, and technical customer-facing roles.
A strong understanding of how CPUs, GPUs, and high-speed networking fabrics interact within massive clusters.
Practical experience with performance counters, profiling tools, and telemetry collection systems (e.g., Perf, eBPF, Prometheus, Grafana).
Practical experience working with containers, cloud provisioning, and scheduling tools such as Docker, Docker Swarm, Kubernetes, SLURM, Ansible.
Proven track record of transforming raw logs and telemetry into structured time series data, dashboards, and heat maps.
The ability to translate complex, low-level technical performance anomalies into clear, actionable narratives for cross-functional teams.
Strong collaborative skills and a proven history of building successful relationships across diverse engineering and operations teams.
Deep knowledge of multi-GPU communication libraries like NCCL, and how they optimize inter-GPU topologies.
Deep, hands-on experience working directly with NVIDIA hardware architectures, NVLink, NVSwitch, or NVIDIA Nsight tools.
Practical experience optimizing distributed AI training workloads, LLMs, or large-scale high-performance computing environments.
Experience developing or integrating Agentic AI frameworks to autonomously parse telemetry logs, diagnose configuration drifts, or automate cluster triage.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

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Keywords to mirror

aidockerkubernetes

Platform: eightfold
Effort: medium

Benefits

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