Senior HPC Storage Engineer
AI summary of the role
Senior HPC Storage Engineer on the HW Infrastructure Storage Strategy team at NVIDIA, responsible for designing and implementing next-gen distributed storage solutions for large-scale HPC and AI workloads.
What you’ll do
- Research, design, and implement scalable, next-gen distributed storage services for HPC workloads, optimizing performance and cost-effectiveness
- Develop tooling to automate management of large-scale infrastructure environments, monitoring, alerting, and self-service resource consumption
- Collaborate across teams to understand developer workflows and capture infrastructure requirements
- Support researchers running flows on clusters including performance analysis and optimizations of deep learning workflows
What you’ll bring
- 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
Technologies
Ceph · Weka.io · Vast · Lustre · GPFS · Docker · Enroot · CUDA · NCCL · MLPerf · PyTorch · TensorFlow
About NVIDIA
Designs and manufactures GPUs and system-on-chips powering data centers, AI workloads, gaming, autonomous vehicles, and HPC. The foundational hardware for modern deep learning.
Public
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job 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 pla [... source excerpt omitted ...] actices, 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 What we need to see: Bachelor’s degree in Computer Science, Electrical Engineering or related field or equivalent experience. [... source excerpt omitted ...] ur location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March 26, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, nat
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