Gurugram, Haryana, India
Information Technology
Full-Time
NVIDIA
Overview
NVIDIA is at the forefront of innovation in AI, high-performance computing, and visualization. Our invention—the GPU—has transformed modern computing and powers everything from scientific breakthroughs to autonomous vehicles. As we drive the next wave of artificial intelligence, we're looking for outstanding engineers to join us. 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.
What You’ll Be Doing
JR2000934
What You’ll Be Doing
- 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.
- 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.
- 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.
JR2000934
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