System Software Engineer - Data Center GPU Compute Diagnostics

Responsibilities

• Developing diagnostic and stress software in C/C++ and Python for complex hardware systems.
• Interfacing with hardware blocks, firmware, Linux device drivers, registers, telemetry, and low-level debugging tools.
• Bringing up and validating new silicon and system features using pre-production hardware and software.
• Creating targeted tests for compute engines, memory and cache subsystems, DMA engines, PCIe/NVLink interfaces, power, and thermal behavior.
• Investigating hardware and software failures involving memory errors, ECC, data integrity, performance, thermals, voltage/frequency behavior, and high-speed interfaces.
• Contributing to diagnostic and stress workloads ranging from low-level tests for GPU hardware to higher-level AI workloads, with opportunities to develop expertise in CUDA programming, GEMM-style compute, NCCL, and PyTorch-based workloads.
• Using modern development and analysis tools, including AI-assisted tools where appropriate, to accelerate coding, debugging, test creation, and failure analysis.
• What we need to see
• BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent experience.
• 2+ years of experience in embedded software, firmware, Linux device drivers, systems software, hardware validation, diagnostics, or silicon bring-up.

Languages