Software Engineer, DOCA

Posted 13 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Software Engineer, you will develop advanced network acceleration technology, engage with stakeholders for requirements, and collaborate across engineering teams to enhance application performance.
Summary Generated by Built In

We are looking for a Software Engineer. You will work with highly experienced engineers to provide the world's outstanding SmartNIC products for cloud-computing, research, medical, automotive, finance, weather, telco, and more. We are developing some of the core libraries of the NVIDIA DOCA SDK (https://developer.nvidia.com/networking/doca), rapidly growing DOCA functionality and use cases. With DOCA, developers can program the data center infrastructure by creating software-defined, cloud-native, secured, HW-accelerated services.

Our goal is to enable breakthrough network performance, using NVIDIA SmartNIC hardware capabilities and address the performance, scale and security demands of modern software-defined enterprise data centers and public cloud infrastructure.

What you'll be doing:

  • You will design, and develop the next-generation technology in network acceleration, as well as work with best-in-class technical leaders in this domain

  • Engage with customers and architects to understand the requirements and derive the software design accordingly

  • Collaborate with other engineering teams that develop the upper layers applications like virtual switches (OVS, VPP, and etc.) and lower layers like driver, kernel, FW, and HW

What we need to see:

  • B.Sc. (or equivalent experience) in computer science/software engineering

  • 3+ years’ confirmed experience of Programming C/C++

  • 3+ years’ confirmed experience in Linux environment and tools

  • Experience with Networking Protocols mainly Ethernet, and security protocols

  • Experience with virtualization technologies

  • Strong analytical, debugging, and problem-solving skills

  • Knowledge of computer architecture and operating systems.

  • Experience in performance optimizations

Ways to stand out from the crowd:

  • Experience working with AI empowered dev tools

  • Knowledge and experience with designing SDKs

  • Open Source Software Contributor to relevant projects (OvS, DPDK, Linux Kernel..)

  • A positive demeanor, a growth mindset, and excellent interactions with colleagues

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!

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++
Ethernet
Linux
Networking
Sdk Design
Virtualization Technologies
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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