Senior System Software Engineer – Data Center Compute Diagnostics

NVIDIA AI

Durham (NC)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

NVIDIA AI is seeking a senior engineer to lead the architecture and development of low-level diagnostic and stress software for next-generation data center GPUs and AI systems. You will collaborate across teams to bring up new hardware and diagnose complex failures across hardware and software layers.

The role demands a BS/MS in Electrical, Computer Engineering or Computer Science with extensive embedded software and hardware validation experience, and strong C/C++ as well as Python skills.

Qualifications

  • Requires a BS/MS in Electrical or Computer Engineering or Computer Science with over 12 years of experience in embedded software or hardware validation.
  • Must possess strong C/C++ and Python skills and a deep understanding of computer architecture and high-speed interfaces.

Responsibilities

  • Lead the architecture and development of low-level diagnostic and stress software for next-generation data center GPUs and AI systems.
  • Collaborate with cross-functional teams to bring up new hardware and diagnose complex system failures across hardware and software layers.

Skills

C
C++
Python
Embedded Software
Firmware
Linux Device Drivers
PCIe
NVLink
CUDA
Computer Architecture
Debugging
Technical Leadership
Silicon Bring-up
PyTorch
NCCL

Education

BS/MS in Electrical or Computer Engineering or Computer Science

Job description

Lead the architecture and development of low-level diagnostic and stress software for next-generation data center GPUs and AI systems. Collaborate with cross-functional teams to bring up new hardware and diagnose complex system failures across hardware and software layers.


Requirements

Requires a BS/MS in Electrical or Computer Engineering or Computer Science with over 12 years of experience in embedded software or hardware validation. Must possess strong C/C++ and Python skills and a deep understanding of computer architecture and high-speed interfaces.


Key Skills

C, C++, Python, Embedded Software, Firmware, Linux Device Drivers, Hardware Validation, PCIe, NVLink, CUDA, Computer Architecture, Debugging, Technical Leadership, Silicon Bring-up, PyTorch, NCCL


Benefits

Equity, Comprehensive benefits package

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