NVIDIA · 7 hours ago
Senior HPC Cluster Engineer - EDA
Austin, TX
Full-time
Onsite
Senior Level
$148K/yr - $236K/yr
5+ years expNVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. They are seeking a highly skilled and experienced HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA and high-performance computing workloads. The role involves collaborating with researchers and infrastructure teams to ensure efficient performance and reliability of GPU clusters.
Artificial Intelligence (AI)Consumer ElectronicsGPUHardwareSoftwareVirtual Reality
Hiring Manager
Anita R.
Responsibilities
Provide leadership and strategic mentorship on the management of large-scale HPC systems including the deployment of compute, networking, and storage
Develop and improve our ecosystem around GPU-accelerated computing including developing scalable automation solutions
Continuously improve infrastructure provisioning, management, observability and day to day operation through automation
Build and nurture customer and cross-team relationships to consistently support the clusters and address changing user needs
Support our researchers to run their workloads including performance analysis and optimizations
Conduct root cause analysis and suggest corrective action. Proactively find and fix issues before they occur
Build innovative tooling to accelerate researchers' velocity, debugging and software performance at scale
Qualification
Required
Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience
Minimum of 5 years of proven experience crafting and operating large scale compute infrastructure, including cluster configuration managements tools such as BCM or Ansible
Experience with AI/HPC job schedulers and orchestrators, such as Slurm, LSF, PBS or K8s. Applied experience with AI/HPC workflows that use MPI and NCCL
Proficient in using Linux including Rocky/Centos/RHEL and/or Ubuntu Linux distributions. A solid understanding of container technologies such Enroot and Docker
Proficiency in one scripting language (Python, Bash) and at least one compiled language (Golang, Rust, C, C++...)
Experience analyzing and tuning performance for a variety of AI/HPC workloads. Excellent problem-solving to analyze complex systems, identify bottlenecks, and implement scalable solutions
Excellent communication and collaboration skills, with the ability to work effectively with various teams and individuals
Passion for continual learning and staying ahead of new technologies and effective approaches in the HPC infrastructure fields
Preferred
Background with NVIDIA GPUs, CUDA Programming, NCCL and MLPerf benchmarking
Experience supporting EDA workloads and tools
Familiarity with High-Speed Networking pertaining to HPC including InfiniBand, RDMA and RoCE
Understanding of fast, distributed storage systems such as Lustre and GPFS for AI/HPC workload
Familiarity with metrics collection and visualization at scale with Prometheus, OpenSearch and Grafana
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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