Senior Platform Software Engineer - AI Server - GPU

October 13

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Description

• Drive and deliver innovations for GPU based AI server with focus on PCIe architecture, system engineering, software/firmware changes as per processor & I/O architecture. • Define system architecture to optimize I/O performance for various GPU applications. • Debugging complex system issues due to GPU, I/O bus (PCIe, etc.) and CPU. • Architecting complex systems, I/O error handling from PCIe & other I/O buses and processor viewpoint, fault management for degraded mode operation of the system per datacenter requirements. • Identify gaps in platform debuggability and drive solutions to improve speed and correctness of issue closure. • Identify new technologies, features to improve performance, functionality, uptime of GPU systems.

Requirements

• Deep understanding of Server Architecture, CPU design, PCI Express, and CXL at platform level for enterprise systems. • Deep understanding of PCI Express and associated Error Handling (RAS) and Performance. • Deep understanding of Linux kernel • Familiar with PCIe Switches and Retimers and associated firmware or configuration files. • Deep understanding of Memory architecture with a focus on Memory RAS. • Solid experience of end-to-end delivery of high-end enterprise servers from definition to customer deployment. • Experience modifying UEFI BIOS and Linux Kernel source. • Experience writing scripts to assist or automate debug. • Experience with C/C++ development and debugging skills in Linux operating environments. • Excellent written and oral communication skills. • Good work ethics and high sense of team-work. • Commitment to finish tasks every day.

Benefits

• equity • benefits