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Senior Storage Product Engineer

US, CA, Santa Clara; US, TX, Austin
Full Time On-site

Summary

Job Description

NVIDIA's Enterprise Product Engineering involves crafting, constructing, and maintaining vital systems efficiently and reliably..

As a Senior Storage Product Engineer, you will take ownership of NVIDIA’s Product Team’s internal and partner-facing storage environments. We focus on delivering high-performance, highly available storage systems that scale while enabling developers to innovate rapidly and safely. You’ll apply your expertise across storage architecture, distributed systems, performance optimization, and automation, while collaborating broadly across product and engineering teams. This role requires both hands-on technical depth and big-picture systems thinking, with a strong emphasis on automation, continuous improvement, and resilience.!

What You Will Be Doing:

  • Architect, deploy, and operate large-scale storage clusters with a focus on scalability, high availability, and data durability.

  • Develop proactive monitoring and alerting frameworks for early detection and remediation of performance and reliability issues.

  • Optimize AI/ML and HPC workloads by crafting intelligent caching, low-latency storage invention, and high-throughput tuning.

  • Own the full lifecycle of storage services—from building and deploying to continuous improvement and scaling.

  • Partner with development teams to deliver automation frameworks, capacity management strategies, and launch readiness reviews.

  • Maintain production storage health by monitoring latency, efficiency, and availability, using predictive analytics and automation.

  • Improve efficiency with compression, deduplication, tiering strategies, and dynamic data placement.

  • Maintain data security and compliance by implementing encryption, access controls, auditing, and governance based on policies,, Automate and scale operations using infrastructure-as-code, orchestration, and AI/ML workflows.

What We Need To See:

  • BS degree or equivalent experience in Computer Science, Storage Systems, or a related technical field with 12+ years of practical experience.

  • Experience with distributed and high-performance storage solutions, including clustered and parallel file systems, distributed object storage, and enterprise-grade storage systems.

  • Proven understanding of block, file, and object storage technologies, including their scalability, reliability, and performance characteristics and standard processes.

  • Experience with storage networking protocols such as NFS, SMB, iSCSI, S3, Fibre Channel, RDMA, and NVMe over Fabrics.

  • Expertise in algorithms, data structures, complexity analysis, software development, and automating maintenance of large-scale Linux-based storage systems.

  • Experience in one or more of the following: C/C++, Java, Python, Go, NodeJS, and Bash for storage automation, monitoring, and performance tuning.

  • Hands-on experience with infrastructure configuration management tools like Ansible, Chef, Puppet, and Terraform for automating storage deployments. Experience with observability and tracing tools like InfluxDB, Prometheus, Grafana, and the Elastic stack for monitoring storage system health.

  • Skills in communication, work ethics, teamwork, quality work, and daily dedication are necessary.

Ways to stand out from the crowd:

  • Deep understanding of large-scale distributed storage architectures, replication strategies, and erasure coding techniques.

  • Proficiency in optimizing performance, fine-tuning, and resolving issues with high-throughput storage systems.

  • Experience in analyzing and improving distributed storage system performance at scale.

  • Proven comprehension of network protocols, architectures, and troubleshooting techniques, particularly in connection to storage performance, stability, and availability.

  • Experience using or operating private and public cloud storage solutions based on Kubernetes, OpenStack, or hybrid cloud architectures.

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 29, 2025.

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, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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