6 days ago
Remote, Germany +2 moreSenior
Responsibilities
- Own customer issues involving InfiniBand and NVLink switch deployments from inception through resolution.
- Develop features and tools supporting NVIDIA Enterprise Service offerings and networking products.
- Help enterprise customers and internal users improve the availability, reliability, and overall experience of NVIDIA Networking products.
- Analyze, communicate, and solve complex customer problems.
- Collaborate with engineering teams to document, reproduce, and resolve issues.
- Split approximately 50% of time between customer problem-solving and 50% between R&D work.
Requirements
- Bachelor of Science in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent experience.
- At least 10 years of system software development and troubleshooting experience, ideally including customer-facing work.
- Experience developing C in kernel space, application space, and/or embedded software.
- Hands-on experience troubleshooting common datacenter networking protocols and technologies, including LACP, OSPF, BGP, EVPN, and VXLAN.
- Professional communication and interpersonal skills with analytical, self-motivated, collaborative, and problem-solving capabilities.
- Preferred familiarity with InfiniBand, Ethernet networks, RDMA, RoCE, DPUs, HPC applications using MPI or UCX, and OVS.
- Preferred ability to analyze IP, Layer 2 switching, and Layer 3 routing protocols including ARP, STP, LACP, MLAG, IGMP, PIM, BGP, and OSPF.
- Contributions to networking-related open-source projects are preferred.
Benefits
- The role is approximately 50% customer-facing work and 50% R&D work.
- Base salary varies by location, experience, and job-related factors; listed ranges include Poland, Germany, and the Netherlands.
Tech Stack
C
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.