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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HPC consultant - **Company:** RPA Infotech Inc. - **Location:** Fremont, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Application Performance Management, Microsoft Azure, Bash Shell, CentOS, Cloud Computing, Compilers, Nvidia CUDA, Linux, File Systems, Ethernet, InfiniBand, Job Scheduling, OpenMP, Package Management Systems, Performance Tuning, Red Hat Enterprise Linux, Software Project Management, Toolchain, Scripting, Google Cloud, High Performance Computing, Build Management, Perf (Linux), Storage Technologies, Performance Monitor, Slurm, Nvme - **Published:** May 14, 2026 - **Apply:** https://www.dice.com/job-detail/a347638e-5389-458f-b820-bce4e6da3fff ## About the Role Core HPC Skills * 8-12+ years of hands-on HPC engineering experience in production environments. * Strong expertise with SLURM (configuration, tuning, troubleshooting). * Solid understanding of Linux systems (RHEL/CentOS/Rocky/Alma preferred). * Deep knowledge of HPC storage systems and I/O performance analysis. * Proven experience building and optimizing HPC applications and libraries. Technical Proficiency * MPI implementations (Open MPI, MPICH), OpenMP * Compilers and toolchains (GCC, Intel, NVIDIA HPC SDK) * Performance tools (perf, vtune, nvprof/nsys, IB diagnostics) * Environment modules (Lmod), package managers (Spack preferred) * Bash/Python scripting for automation and diagnostics Nice to Have * Experience with GPU-based HPC workloads (NVIDIA CUDA, ROCm). * Exposure to cloud-based HPC (Azure, AWS, Google Cloud Platform). * Familiarity with parallel file systems such as Lustre or IBM Spectrum Scale. * Vendor engagement experience for HPC hardware/storage evaluations. ## Description * Design, configure, tune, and optimize SLURM partitions, queues, QoS, and scheduling policies to maximize cluster utilization and workload efficiency. * Perform in-depth analysis of job scheduling behavior, bottlenecks, and resource contention. * Troubleshoot job failures, performance degradation, and scheduler-related issues in production HPC environments. * Implement fair-share, backfill, reservations, and policy-driven scheduling as required. Storage Benchmarking & Procurement Support * Lead HPC storage performance benchmarking using industry-standard tools (e.g., IOR, FIO, MDTest, IOzone). * Analyze I/O patterns of HPC workloads and map them to appropriate storage architectures (parallel file systems, NVMe, Lustre, Spectrum Scale, etc.). * Provide technical input for storage selection and procurement, including performance expectations, sizing, and cost-performance tradeoffs. * Collaborate with vendors and internal teams during POCs and performance validation exercises. HPC Application Build & Optimization * Build, install, configure, and maintain HPC applications, compilers, libraries, and scientific software stacks. * Optimize application performance using MPI, OpenMP, GPU acceleration (where applicable), and tuned math libraries. * Support multiple compiler toolchains (GCC, Intel, LLVM, NVIDIA HPC SDK, etc.). * Implement and manage environment modules (Lmod) or similar software management frameworks. System Performance & Operations * Conduct system-level performance tuning across compute, memory, network, and storage layers. * Diagnose node-level issues involving CPU, GPU, interconnects (InfiniBand/Ethernet), and OS configurations. * Create operational runbooks, performance baselines, and troubleshooting documentation. * Support cluster upgrades, expansions, and hardware refresh activities. Collaboration & Delivery * Work closely with application owners, researchers, and infrastructure teams to meet aggressive delivery timelines. * Translate workload requirements into practical HPC configurations and optimizations. * Provide clear technical guidance and recommendations to leadership and stakeholders. ## Related Videos - [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) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [The best of two worlds - Bringing enterprise-grade Linux to the vehicle](https://www.wearedevelopers.com/videos/67-the-best-of-two-worlds-bringing-enterprise-grade-linux-to-the-vehicle) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) ## Related Articles - [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) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)