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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior HPC Storage Engineer - **Company:** NVIDIA Ltd. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $356,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Bash Shell, Ubuntu (Operating System), CentOS, Cloud Computing, Nvidia CUDA, Computer Programming, Computer Networks, Computer Graphics, Linux, Distributed File Systems, Distributed Data Store, General Parallel File Systems, Networking Hardware, Python (Programming Language), Linux Kernel, Red Hat Enterprise Linux, Tensorflow, AI Infrastructure, Ceph (Software), Graphics Processing Unit (GPU), High Performance Computing, Pytorch, Deep Learning, Containerization, Storage Technologies, Information Technology, Docker, Nvme - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=25f8e89cf03b7e28 ## About the Role * Bachelor's degree in Computer Science, Electrical Engineering or related field or equivalent experience. * 8+ years of experience designing and/or operating large scale storage infrastructure. * Experience analyzing and tuning storage performance for a variety of workloads. * Proficient in Centos/RHEL and/or Ubuntu Linux distros including Python programming and bash scripting * In depth understanding of container technologies like Docker, Enroot, * Distributed Storage Expertise: Extensive experience with parallel and distributed filesystems (Ceph, Weka.io, Vast, Lustre, GPFS) and Linux storage kernel development. * GPU & AI Infrastructure: Proficient with NVIDIA GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf. * Hardware & Storage Engineering: Deep familiarity with storage hardware (HDDs, SSDs, NVMe), enclosures, and specialized appliances like Network Appliance. * Advanced Networking: Strong background in Software Defined Networking (SDN) and high-performance networking for AI/HPC clusters. * Deep Learning Frameworks: Practical experience applying industry-standard frameworks, specifically PyTorch and TensorFlow. ## Description NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a member of the HW Infrastructure Storage Strategy team, you will provide leadership in the research, design and implementation of ground breaking fast storage solutions to enable runs of demanding high performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes encompassing file, block, and object storage, to cater to the scaling and performance requirements of an expanding cloud infrastructure. As an expert, you will help us with the next-gen storage solutions strategic challenges we encounter with storage design for large scale, high performance workloads, evolving our private/public cloud strategy, capacity modelling, and growth planning across our global computing environment. What you'll be doing: * Research and analyze existing internal distributed storage services. * Research, design, and implement scalable, next-gen distributed storage services for HPC workloads, optimizing both performance and cost-effectiveness to meet NVIDIA's growing infrastructure needs * Develop tooling to automate management of large-scale infrastructure environments, to automate operational monitoring and alerting, and to enable self-service consumption of resources. * Detail the general procedures and practices, perform technology evaluations, related to distributed file systems. * Collaborate across teams to better understand developers' workflows and capture their infrastructure requirements. * Influence and guide methodologies for building, testing, and deploying applications to ensure efficient performance and resource utilization. * Supporting our researchers to run their flows on our clusters including performance analysis and optimizations of deep learning workflows * Root cause analysis and suggest corrective action for problems large and small scales ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [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) - [Accelerating Python on GPUs](https://www.wearedevelopers.com/videos/859-accelerating-python-on-gpus) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [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) - [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)