[Remote] AI Benchmarking and Telemetry Engineer - NVIS

Note: The job is a remote job and is open to candidates in USA. NVIDIA is a leader in computer graphics and AI technology, seeking a skilled HPC/AI Benchmarking and Telemetry Engineer to enhance performance insights across advanced computing infrastructure. The role involves developing benchmarking methods for large-scale GPU clusters and building telemetry frameworks to monitor system performance, while collaborating with engineering teams to optimize workloads.ResponsibilitiesFormulate benchmarking methods for high-performance computing and AI tasks. Perform and bring these methods to completion on large-scale GPU clusters. Assess performance metrics to detect optimization opportunities and upgrade architectureDevelop and maintain telemetry infrastructure to capture performance data. This data spans host-level GPU/CPU metrics, network fabric utilization, and power/thermal characteristics within the facilityCollaborate closely with hardware engineering, software development, and customer-facing teams to define performance requirements, fix bottlenecks, and validate configurations against real-world workloadsDeploy and manage observability stacks including monitoring tools like Prometheus, visualization platforms such as Grafana, NVIDIA's DCGM, and custom telemetry solutions to provide actionable insights into cluster health, utilization, and performance trendsWork directly with engineering and collaborate with internal partners to understand their performance requirements, conduct on-site benchmarking engagements, and deliver detailed analysis and recommendations for workload optimizationMaintain extensive knowledge of industry-standard benchmarks in advanced computing and machine learning fields such as HPL, HPCG, MLPerf, and NCCL tests. Contribute to developing new benchmarking methodologies for emerging workloadsSkillsBachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)8+ years of direct experience working with HPC and/or AI infrastructure, including cluster deployment, performance analysis, and benchmarkingDeep expertise in Linux system administration, including kernel tuning, process scheduling, storage I/O optimization, and solving performance issues at scaleProven experience crafting and implementing telemetry and monitoring solutions for large-scale distributed systems, with proficiency in tools such as Prometheus, Grafana, DCGM, collectd, or similar observability platformsSolid grasp of GPU architectures, CUDA programming principles, and GPU performance traits in high-performance computing and artificial intelligence workloadsFamiliarity with job schedulers (Slurm, PBS, LSF) and container orchestration platforms (Kubernetes, Docker) in HPC/AI environmentsProficiency in Python, Bash, and other scripting languages for automation, data analysis, and workflow orchestrationExcellent analytical and problem-solving skills with the ability to interpret complex performance data and communicate findings to both technical and non-technical audiencesExperience with high-performance networking technologies including InfiniBand, RoCE, and Ethernet fabric tuning and performance analysisKnowledge of parallel filesystems such as Lustre, GPFS, BeeGFS, Weka, or VAST, including performance tuning and benchmarkingBackground in power and thermal management for high-density compute environments, including PUE optimization and liquid cooling technologiesContributions to open-source benchmarking tools or performance analysis frameworksIndustry certifications such as RHCE, CKA, or vendor-specific HPC/data center credentialsBenefitsEquity and benefitsHighly competitive salariesA comprehensive benefits packageCompany OverviewNVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com.Company H1B SponsorshipNVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.