Senior Software Architect

Posted 2 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Software Architect will lead architectural development in networking technologies, collaborating on requirements and designs with R&D and customers. Emphasis on virtualization, Linux kernel, and networking drivers is key.
Summary Generated by Built In

NVIDIA is looking for a forward-thinking Software Architect for an exciting position in the CTO architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in networking drivers, virtualization, and Linux kernel and VMware development. He or she should have validated experience in Software architecture and/or development in the field of datacenter networking. Moreover the architect show good overall understanding of system level issues, be familiar with network protocol, operating systems, and virtualization, work closely with customers on requirement collecting and feature definition, and able to technologically lead R&D.

What you'll be doing:

  • Technically leading the features owns working with customers and R&D on architecture and design of the features.

  • Clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.

  • Present and verify the solution defined to the potential customer or relevant community (Linux, DPDK, others) and to internal R&D for implementation.

  • Resolve issues raised during implementation stages or feedback from community and customers. Specific field of handling of new features include VMware next gen switching logic, emulated netdev and storage blockdev, security DPI and FW offload solutions, and encryptions.

What we need to see:

  • B.Sc/ M.Sc in Computer Engineering, Computer Science or Electrical Engineering.

  • 5+ years of software development experience in C,  2+ years of architecture experience

  • Knowledge of networking drivers and operating systems

  • Work independently

  • Able to technically lead R&D

 

Ways to Stand Out from the Crowd:

  • Linux Kernel expertise and/or VMware

  • Experience with RDMA and InfiniBand

  • Experience with DPDK, Open-vSwitch, KVM, Security

 

NVIDIA has continuously reinvented itself over two decades. 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. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere real passion for technology, 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
Dpdk
Infiniband
Kvm
Linux
Open-Vswitch
Rdma
VMware
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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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