Description

You will design and maintain system-level software for GPU-to-GPU communication within large compute clusters.

This role is on-site.

Responsibilities

• Design and develop system-level software enabling efficient GPU-to-GPU communication.
• Collaborate with hardware and software teams to deliver scalable networking solutions.
• Contribute to the architecture and optimization of GPU fabric networking.
• Develop and maintain device drivers and kernel modules for networking hardware.
• Debug and profile multi-threaded, high-performance software interacting with hardware.

Required Skills

• 5+ years of experience in system-level programming using C.
• Expertise in Linux kernel and system-level programming.
• Proven experience with device driver development and debugging.
• Strong understanding of TCP/IP stack and networking protocols.
• Proficiency in C++ programming for system software.
• Familiarity with high-performance interconnects (InfiniBand, Ethernet).
• Knowledge of networking fundamentals and distributed systems.

Preferred Skills

• Experience with GPU fabric architecture.
• Knowledge of kernel module development and debugging tools (GDG, perf, strace).

Key Skills

Education

Any Graduate