Description

What you will be doing:

Design, implement and maintain system software that enables communication between GPUs.

Participate in the architectural definition and design of next-generation communication hardware and software to support large scale computing platforms.

Work with cross-disciplinary teams to understand business requirements and align software direction to meet those needs.

What we need to see:

B.S/M.S/Ph.D. in computer science or a related field or equivalent experience

5+ years of relevant experience.

Excellent C/C++ programming and debugging skills. Shell scripting experience. Python and Perl experience is a plus.

Experience writing software applications that interface with device drivers and expose associated hardware functionality. Strong understanding of computer system architecture, operating system and kernel internals.

Strong experience with Linux and comfortable working in a cross-platform environment (Linux and Windows).

Experience with multi-core / multi-process / multi-threaded programming environment.

Strong understanding of networking fundamentals and high-performance networks like Ethernet/IB.

Experience with OS virtualization technologies like KVM/QEMU/Hyper-V etc.

Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

Understanding of CUDA programming model and NVIDIA GPUs.

Knowledge of memory coherence and consistency models.

Familiarity with static and dynamic code analysis, fuzzing, negative testing, and other techniques

Key Skills

Education

Any Graduate