NVIDIA

1 month ago

Senior Solutions Architect, AI Cluster Performance and Telemetry

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Senior Solutions Architect specializing in Data Center Systems & Performance, driving analysis and optimization of AI, deep learning, and HPC workloads. You’ll diagnose bottlenecks across GPU/CPU/networking in large clusters, develop benchmarking and telemetry pipelines, and collaborate with engineering and customers to boost infrastructure performance.

Location: Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems in large clusters.
•Develop 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.
•Investigate system and software configurations to find and fix subtle discrepancies that impact peak performance.
•Collaborate with internal engineering units, outside collaborators, and customers to develop solutions and boost infrastructure performance.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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.

Experience:8+ yearsHigh-techAIHPCData center

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PerfEBPFPrometheusGrafanaDockerDocker SwarmKubernetesSLURMAnsibleNCCLNVLinkNVSwitchNVIDIA Nsight

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 month ago

Senior Solutions Architect, AI Cluster Performance and Telemetry

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara, Austin

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Identify, analyze, and resolve complex performance bottlenecks across interconnected GPU, CPU, and networking systems in large clusters.
•Develop 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.
•Investigate system and software configurations to find and fix subtle discrepancies that impact peak performance.
•Collaborate with internal engineering units, outside collaborators, and customers to develop solutions and boost infrastructure performance.

Pay and Benefits

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•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.

Experience:8+ yearsHigh-techAIHPCData center

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PerfEBPFPrometheusGrafanaDockerDocker SwarmKubernetesSLURMAnsibleNCCLNVLinkNVSwitchNVIDIA Nsight

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor