NVIDIA is seeking for an experienced Software Engineer with a strong background in networking and virtualization technologies. This full-time position requires close collaboration with other NVIDIA SW and SW architecture teams, pre-sale teams and different industry leading architecture and RnD teams to develop leading SW solutions and stack, to provide the full solution for NVIDIA's superior Connect-X NICs and Bluefield DPUs. The role requires a strong knowledge of server/Cloud networking and virtualization technologies and top SW development skills.
What you’ll be doing:
Working with NVIDIA top customers RnD, getting familiar with their applications and needs with NVIDIA Product.
Building cutting edge POC prototypes which later to be productize and delivered.
Closely work with NVIDIA various development and architecture teams and take major part of SW development.
What we need to see:
Bachelor or above in Computer Science or computer engineering or related discipline.
5+ years of practical experience.
Strong C/C++ programming skills (user and/or kernel modes).
Experiences using C/C++, Python in Linux hands-on development.
Deep networking knowledge and familiar with protocols such as VLAN, GRE, VXLAN, MPLS, IPSEC, PSP, etc.
Experience with cloud-networking and virtualization technologies.
Strong design, coding, debugging and problem-solving skills.
Advantage – knowledge at RDMA, OvS, DPDK, SRIOV, VIRTIO, Storage, etc.
Advantage – System Arch knowledge, PCIe knowledge, system performance aspects.
Ways to stand out from the crowd:
Demonstrated ability to work in a cross-functional team environment.
Self-motivated, ability to work with little definition and supervision while multi-tasking and prioritizing across a number of projects and initiatives.
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 on the planet working for us. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
Skills Required
- Bachelor's degree or higher in Computer Science, Computer Engineering, or a related discipline
- 5+ years of practical software engineering experience
- Strong C and C++ programming skills in user and/or kernel modes
- Hands-on C, C++, and Python development in Linux
- Deep networking knowledge, including protocols such as VLAN, GRE, VXLAN, MPLS, IPsec, and PSP
- Experience with cloud networking and virtualization technologies
- Strong software design, coding, debugging, and problem-solving skills
- Knowledge of RDMA, Open vSwitch, DPDK, SR-IOV, VirtIO, storage, system architecture, PCIe, or system performance
- Ability to work effectively in cross-functional teams
- Ability to work autonomously, multitask, and prioritize across projects
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
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.”
