Senior Software Engineer - AI Networking

NVIDIA·Shanghai, Shanghai, China | Beijing, Beijing, China·posted 9h ago · last seen 1m ago

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About interviewing at NVIDIA

Recruiter screen, a technical screen mixing resume deep-dive with live coding, a hiring-manager conversation, then a panel of three to five 45–60 minute rounds: coding, systems design under hardware constraints, a domain deep-dive, and behavioral. Highly team-specific — you interview directly with the team — with C++ depth expected almost universally and decisions sometimes taking five-plus weeks after the panel.

Read the full NVIDIA interview process →

Description

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 R&D teams to develop leading SW solutions and stack. The role requires a strong knowledge of server/Cloud networking and virtualization technologies and top SW development skills. Kernel & DPDK background is strongly preferred.

What you’ll be doing:

  • Working with NVIDIA top customers RnD, getting familiar with their applications and needs.

  • Building cutting edge 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 or computer engineering or related discipline or equivalent experience

  • 5+ years of practical experience

  • Strong C/C++ programming skills

  • Experiences using C/C++ in Linux (user and/or kernel modes)

  • 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, DeepEP, SONiC, vLLM, SGlang and Network virtualization

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

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