# Senior Software Engineer, Fabric Networking - GPU

**Company**: NVIDIA
**Location**: India
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-Software-Engineer--Fabric-Networking---GPU_JR2000934?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_839cdfa3-c2c

## Description

We're seeking a skilled Senior Software Engineer for our GPU Fabric Networking team, building high-performance communication software for demanding workloads in deep learning and HPC.

As a Senior Software Engineer, you will design, develop, and maintain system-level software to support GPU-to-GPU communication. You will collaborate with cross-functional hardware and software teams to build next-generation networking solutions. You will contribute to scalable and reliable GPU fabric architecture for large compute clusters. You will align software development with customer needs and real-world deployment environments.

Responsibilities:

- Design, develop, and maintain system-level software to support GPU-to-GPU communication.

- Collaborate with cross-functional hardware and software teams to build next-generation networking solutions.

- Contribute to scalable and reliable GPU fabric architecture for large compute clusters.

- Align software development with customer needs and real-world deployment environments.

Requirements:

- A degree or equivalent experience in Computer Science, Electrical Engineering, or a related field (B.S., M.S., or Ph.D.).

- 5+ years of professional software development experience.

- Proficiency in C/C++, with strong debugging and system-level problem-solving skills.

- Experience developing software that interacts with hardware and device drivers.

- Solid understanding of system architecture, operating systems, and kernel internals.

- Background in multi-threaded and distributed systems development.

- Experience with Linux development; familiarity with Windows is a plus.

- Strong understanding of networking fundamentals and high-performance interconnects (e.g., InfiniBand, Ethernet).

- Familiarity with OS virtualization technologies like KVM, QEMU, or Hyper-V.

- Comfortable collaborating with a distributed team across different time zones.

Nice to have:

- Experience with the CUDA programming model and NVIDIA GPU architecture.

- Understanding of memory consistency and coherence models.

- Exposure to static/dynamic code analysis, fuzz testing, or fault injection techniques.

## Skills

### Required
- C/C++
- Linux development
- Windows development
- System architecture
- Operating systems
- Kernel internals
- Multi-threaded systems
- Distributed systems
- Networking fundamentals
- High-performance interconnects
- OS virtualization

### Nice to have
- CUDA programming model
- NVIDIA GPU architecture
- Memory consistency and coherence models
- Static/dynamic code analysis
- Fuzz testing
- Fault injection techniques

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/India-Bengaluru/Senior-Software-Engineer--Fabric-Networking---GPU_JR2000934?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)