NVIDIA is seeking for an experienced Software Engineer with a strong background in AI networking 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 R&D teams to develop leading SW solutions and stack. Our dedication to excellence ensures that we only seek those with a proven track record in AI/server/cloud networking, virtualization technologies, and top software development skills.
What you’ll be doing:
- Working with NVIDIA top customers RnD, getting familiar with their applications and needs.
- Building innovative POC prototypes which later to be productize and delivered.
- Closely work with various development and architecture teams and take major part of SW development.
What we need to see:
- Bachelor or above in Computer Science, computer engineering or related field.
- 5+ years of practical experience.
- Strong C/C++ programming skills.
- Experiences using C/C++ in Linux.
- Good networking knowledge and be familiar with L2 bridging, L3 routing and protocols such as VLAN, STP, OSPF, BGP, PIM etc.
- Advantage – knowledge at RDMA, UCX, DPDK, NCCL, SONiC, vLLM, SGlang and Network virtualization.
Ways to stand out from the crowd:
- Proven ability to collaborate in a multi-functional team environment.
- Self-motivation with the capacity to work independently, manage multiple tasks, and prioritize across numerous projects and initiatives.
- Join us at NVIDIA, where your efforts will influence the next generation of computing and make a significant difference globally. This position suits those who thrive in a dynamic, welcoming environment and are motivated to expand the possibilities of AI networking technologies. Apply now and be part of something outstanding!
Skills Required
- Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field
- 5+ years of practical software engineering experience
- Strong C and C++ programming skills
- Experience using C and C++ in Linux
- Strong networking knowledge, including L2 bridging, L3 routing, VLAN, STP, OSPF, BGP, and PIM
- Knowledge of RDMA, UCX, DPDK, NCCL, SONiC, vLLM, SGLang, or network virtualization
- Ability to collaborate in a multifunctional team environment
- Ability to work independently, manage multiple tasks, and prioritize 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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
