Senior Distributed Storage Engineer

Posted 20 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Distributed Storage Engineer at NVIDIA will design and develop a scalable distributed storage service optimized for AI/ML applications, ensuring availability and reliability for large-scale deployments. The role requires collaboration with various teams and automation of the storage service's deployment and management.
Summary Generated by Built In

NVIDIA is looking for a Senior Software Engineer to develop a Storage control plane managing distributed storage services for AI/ML. The goal is to craft a reliable, scalable, and efficient storage-as-a-service tailored to AI applications that can be deployed anywhere and scale without limitations. This service supports the whole NVIDIA critical business from graphics drivers to autonomous vehicles to deep learning frameworks. To achieve this goal, we are looking for an engineer with a deep understanding of distributed systems, outstanding design skills, and a track record in building and delivering large-scale distributed services.

What you will be doing:

  • Leading the overall architecture and design of our distributed storage service optimized to AI/ML

  • Develop features for distributed storage service to scale capacity to multiple exabytes

  • Building features for distributed storage service to enhance availability and reliability for large-scale deployments – multi-location and >10000 nodes

  • Engaging and collaborating with NVIDIA Research, Computing, Product teams, cross-functional teams, and external customers to deliver Cloud services.

  • Automating distributed storage service end-to-end including deployment, management, and monitoring

What we need to see:

  • Strong track record of delivering distributed services in a variety of distributed computing environments

  • Experience designing, implementing, and operating distributed systems at multi-petabyte scale

  • Experience in implementing storage services and interfaces to ensure scalable, high-performance, and reliable solutions

  • History of ownership of product delivery from inception to support

  • Great communication and presentation skills

  • Prior experience developing distributed systems with Kubernetes, Golang, Python, and Cloud Service Provider integrations

  • Bachelor’s of Science in Computer Science, or related field (or equivalent experience) with 5+ years of industry experience

Ways to stand out from the crowd:

  • You have architected, built, and deployed distributed service that runs on large-scale clusters (1000+ nodes), multi-petabyte to exabyte in size, with millions of users

  • Experience and own responsibility for all software development and delivery stages.

  • Passionate about innovating and investing in groundbreaking technologies and interested in working with accelerated Computing environments such as GPU Direct Storage, DPU, and RDMA. You are skilled in building and delivering cloud service, with a specific focus on distributed systems

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for great people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 148,000 USD - 287,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Cloud Service Provider
Go
Kubernetes
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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