> Markdown version of [/jobs/ext/1880265-hpc-cluster-engineer](https://www.wearedevelopers.com/jobs/ext/1880265-hpc-cluster-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HPC Cluster Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $152,000.0 - $241,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bash Shell, Ubuntu (Operating System), CentOS, Computer Clusters, Configuration Management, Nvidia CUDA, Computer Programming, Computer Networks, Computer Literacy, Software Debugging, Linux, Distributed Data Store, Distributed Systems, Electronic Design Automation, General Parallel File Systems, InfiniBand, Systems Analysis, Job Scheduling, Python (Programming Language), Linux Distribution, Performance Tuning, Systems Development Life Cycle, Remote Direct Memory Access, Red Hat Enterprise Linux, Ansible, Prometheus, Graphics Processing Unit (GPU), Grafana, Containerization, Kubernetes, Information Technology, Slurm, Software Performance, Docker - **Published:** July 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-hpc-cluster-engineer-santa-clara-ca--f1f56659-a253-4dbe-90c8-1c338b9bd128 ## About the Role * 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 Python and Bash * Experience analyzing and tuning performance for a variety of EDA 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. Ways to stand out from the crowd: * 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., Ansible, Artificial Intelligence (AI), Automation, Autonomous Driving Systems, Benchmarking, Broadband, CUDA (Compute Unified Device Architecture), CentOS, Communication Skills, Computer Networks, Computer Science, Computer Skills, Computer Systems, Configuration Management, Continuous Improvement, Corrective Action, Cross-Functional, Debugging Tools, Distributed Computing, Docker, Ecosystems, Electrical Engineering, Electronic Design Automation, Energy Efficiency, GPU (Graphics Processing Unit), Gaming, Large-Scale Systems, Linux Distributions, Linux Operating System, Machine Tool, Metrics, Performance Analysis, Performance Tuning/Optimization, Problem Solving Skills, Red Hat Linux Operating System, Return on Capital Employed (ROCE), Root Cause Analysis, Scalable System Development, Scientific Research, Systems Analysis, Team Player, Technical Leadership, Technical Strategy, Ubuntu ## Description We are seeking a highly skilled and experienced HPC Cluster Engineer to design, deploy, and operate GPU Compute Clusters for EDA (Electronic Design Automation) and high-performance computing workloads used across multiple teams and projects. Join our engineering team and collaborate with researchers and infrastructure teams to ensure our GPU clusters are highly performant, scalable and reliable. What you'll be doing: * Develop and enhance our ecosystem around GPU-accelerated computing including developing scalable automation solutions. * Continuously improve infrastructure provisioning, management, observability and day to day operation through automation. * Provide technical leadership and strategic guidance for managing large-scale HPC systems, including the deployment of compute, networking, and storage. * Foster strong customer and multi-functional partnerships to ensure consistent cluster support and rapidly adapt to evolving user needs * Support our researchers to run their EDA 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. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬](https://www.wearedevelopers.com/videos/100355-running-secure-life-science-research-at-scale-using-hybrid-gpu-hpc-and-kubernetes) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)