Principal Distributed Filesystem Architect

Posted 4 Days Ago
Be an Early Applicant
Santa Clara, CA
Expert/Leader
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Principal Architect will lead the development of large-scale distributed file system solutions, collaborating with engineering teams to optimize performance and develop scalable solutions, while improving software design and testing processes to enhance production quality.
Summary Generated by Built In

NVIDIA’s Hardware Infrastructure organization develops, deploys, and runs engineering infrastructure on large-scale, distributed cloud computing systems with 1000s of heterogeneous servers and petabytes of high-performance shared storage. We are looking for a highly motivated Principal Architect to lead the development and deployment of large-scale distributed file system solutions for NVIDIA's world-wide design engineering teams. Collaborate with internal customers and partners, leading technical teams to build and implement efficient storage solutions that improve engineering efficiency and benefit NVIDIA's business.  

What You’ll Be Doing:  

  • Collaborate with HW and SW engineering teams to define a vision and roadmap for distributed storage systems.

  • Lead teams to craft and develop scalable, distributed, high performance Linux filesystems in C++ using FUSE

  • Work closely with team members and internal customers to optimize workflow efficiency and scalability.

  • Drive improvements to SW design and test processes to improve velocity and deliver very high production quality.

  • Directly contribute to the overall quality of and improve time to market for our next generation products and technologies.

What We Need to See:  

  • Ability to drive architectural design decisions from data and estimates to balance cost, performance, reliability, and scalability to meet defined goals.

  • Architectural knowledge to lead distributed teams developing advanced multi-threaded C/C++ projects.

  • Experience with Linux FUSE file system programming. Of particular interest are the automounter components and resource management features.

  • Significant prior architectural experience with networked distributed systems.

  • Ability to collaborate with partners and customers to align on testing and adoption plans.

  • Flexibility/adaptability for working in a fast-paced environment with exciting problems to solve.

  • MS (preferred) or BS in Computer Science, Electrical Engineering, or related field (or equivalent experience)

  • 15+ years of relevant experience.

Ways To Stand Out from The Crowd:  

  • Linux kernel development expertise, particularly in the file system.

  • Software development experience in high performance networking, IO, and memory management.

  • Prior experience in infrastructure software, production application software development, software development, release and support methodology and devops

  • Experience in the management of datacenters and large-scale distributed computing and storage systems.

  • Consistent track record of driving process improvements and measuring efficiency and a passion for sharing knowledge and experience driving complex projects end-to-end. 

The base salary range is 272,000 USD - 419,750 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

C++
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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