Senior Software Engineer

Posted 2 Days Ago
Santa Clara, CA
Mid level
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Software Engineer at NVIDIA, you will lead the development of the Unified Fabric Manager product, focusing on system design, performance tuning, and implementing micro-services architecture. You will collaborate with R&D teams and SW Architects in an agile environment to deliver high-scale SDN management solutions.
Summary Generated by Built In

NVIDIA is now hiring a Senior Software Engineer to lead and help build NVIDIA's innovative Network Management System for the most powerful super-computers in the world. Our team is growing, and we are looking for hard-working, self-motivated engineers to lead the build of sophisticated, high-scale SDN management solutions. You will be part of a dynamic, like-minded team of people. This critical role will give you a rare opportunity to craft and deliver a new class of Data Center NMS product line. If you love system design, building networks, and having ownership in a piece of leading edge technology, we'd love to hear from you!

What you’ll be doing:

  • Developing a next generation UFM – Unified Fabric Manager product.

  • Driving the underlying technology stack and the implementation methodology.

  • Monitoring and tuning code performance.

  • Working closely with other SW R&D teams and SW Architects.

  • Driving performance-tuning and automation.

  • Designing and implementing a micro-services architecture.

  • Working in an agile environment.

What we need to see:

  • B.S. in Computer Science , or equivalent experience

  • 3+ years of hands-on experience with system software design, development, maintenance, and C/C++ programming, debugging and performance analysis.

  • Python programming

  • Dockers, Kubernetes, and other orchestration tools.

  • Background in RESTful web services.

  • Experience with Continuous Integration and Continuous Delivery (CICD)

  • Excellent interpersonal and written communication skills required.

Ways to stand out from the crowd:

  • M.S. in Computer Science

  • Experience in code performance analysis and tuning

  • Experience in agile software development methodology.

  • Extensive knowledge and deep understanding of Linux system programming.

  • A track record of solving sophisticated problems with elegant solutions and can demonstrate delivery of complex projects in previous roles.

  • Experience building infrastructures and tools to speed up development, test, and release.

With competitive salaries and a generous benefits package, we are 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 and, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, this role could be a great match for you!

#LI-Hybrid

The base salary range is 148,000 USD - 276,000 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
C++
Python
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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