Nvidia
Nvidia

60 Nvidia Senior Storage Engineer Jobs Hiring Near You

NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, now focusing on AI to define the next era of computing. As a Senior HPC Storage Engineer, you will lead the ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Hardware & Storage Engineering: Deep familiarity with storage hardware (HDDs, SSDs, NVMe ...

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Hardware & Storage Engineering: Deep familiarity with storage hardware (HDDs, SSDs, NVMe ...

We are seeking to hire an experienced Senior Manager to join the investing team in Santa Clara, CA ... Leading due diligence in collaboration with NVIDIA product, engineering and research teams

Senior Software Engineer - Storage

San Jose, CA · On-site

$143K - $189K/yr

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs ... We are seeking a Software Engineer to join our MARS team at NVIDIA. In this role, you will help ...

Senior Software Engineer - Storage

Santa Clara, CA · On-site

$143K - $189K/yr

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs ... We are seeking a Software Engineer to join our MARS team at NVIDIA. In this role, you will help ...

Senior Software Engineer - Storage

Redmond, WA · On-site

$137K - $180K/yr

NVIDIA is a pioneer in accelerated computing, known for inventing the GPU and driving breakthroughs ... We are seeking a Software Engineer to join our MARS team at NVIDIA. In this role, you will help ...

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Nvidia Jobs Information

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Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.

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Most people find it easy to get time off.
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Do people at Nvidia get to take their breaks without interruption?

Most people get breaks without interruption.
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Some people feel stressed out here.
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Do people get enough training when they start at Nvidia?

Some people didn’t get enough training when they started.
40% of people report they didn’t get enough training when they started working here.
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Do people get support to advance at Nvidia?

Most people are given support to advance their career here.
In the last year, 100% of people report being given support to advance their career here.
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Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
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What other companies are hiring for Senior Storage Engineer jobs?
Infographic showing various Senior Storage Engineer job openings at Nvidia in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 12% Hybrid, and 2% Remote job distribution.
Senior HPC Storage Engineer

Senior HPC Storage Engineer

NVIDIA

Austin, TX • On-site

Full-time

Posted 22 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, now focusing on AI to define the next era of computing. As a Senior HPC Storage Engineer, you will lead the research, design, and implementation of innovative storage solutions for high performance computing workloads, while collaborating with teams to optimize infrastructure performance and resource utilization.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• Extensive experience with parallel and distributed filesystems (Ceph, Weka.io, Vast, Lustre, GPFS) and Linux storage kernel development.
• Proficient with NVIDIA GPUs, CUDA programming, and NCCL, including performance benchmarking via MLPerf.
• Deep familiarity with storage hardware (HDDs, SSDs, NVMe), enclosures, and specialized appliances like Network Appliance.
• Strong background in Software Defined Networking (SDN) and high-performance networking for AI/HPC clusters.
• Practical experience applying industry-standard frameworks, specifically PyTorch and TensorFlow.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

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About Nvidia

Sourced by ZipRecruiter

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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993