An Exciting Rewarding

Technology

SystemSoftwareEngineerDataCenterGPUComputeDiagnostics

$152–242k Durham, North Carolina, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“System Software Engineer – Data Center GPU Compute Diagnostics at An Exciting Rewarding. Skills: System software, GPU diagnostics, Low-level programming, Hardware validation. Work with hardware architecture teams. Work with driver teams”

Industry & Context.

Technology
Problems you'll solve

Problem solving; Low-level debugging

What They're Looking For.

Must Have

BS or MS degree, 5+ years experience, Low-level diagnostics experience, C/C++ and Python skills, Memory systems knowledge, GEMM-style workloads familiarity, AI development tools experience, Problem solving skills, Low-level debugging skills

Nice to Have

GPU architecture exposure, CUDA kernels exposure, GPU compute workloads exposure, Accelerator programming exposure

What You'll Do.

Work with hardware architecture teams

Work with driver teams

Work with manufacturing teams

Work with field teams

Implement diagnostic workloads

Maintain diagnostic workloads

Implement software infrastructure

Maintain software infrastructure

Write GPU compute tests

Tune GPU compute tests

Implement GEMM-style workloads

Tune GEMM-style workloads

Contribute to AI workload tests

Bring up hardware features

Validate hardware features

How You'll Work.

Team & Collaboration

Close collaboration with engineers; Partner with senior engineer; Collaboration with hardware architecture; Collaboration with silicon validation; Collaboration with manufacturing; Collaboration with field teams

Full Job Description

We are seeking a system software engineer to work on next-generation Data Center GPU diagnostics for rack-scale AI supercomputer systems. Our charter is to build applications and compute workloads that test and heavily stress GPU compute engines, HBM memory, cache hierarchy, PCIe/NVLink interfaces, power delivery, and thermal behavior, and to use those applications in silicon/system bring-up along with packaging such tools for manufacturing and customer use. In this role you will partner with a senior engineer leading the team's CUDA kernel and GEMM diagnostics work, owning well-scoped pieces of the codebase end-to-end while ramping on GPU microarchitecture and silicon characterization. The best candidates will have experience writing low-level diagnostic, performance, or stress software for complex hardware systems, ideally including experience with GPUs, CUDA kernels, GEMM-style workloads, CPUs, NICs or high-speed interconnects such as PCIe. Good interpersonal skills are required as this role will involve close collaboration with hardware architecture, silicon validation, manufacturing and field teams. In addition, the engineer will grow their knowledge of operating systems, computer architecture, GPU memory, voltage/frequency behavior, thermal limits, high-speed buses, and modern AI development and analysis tools to efficiently validate and test next-generation processors and systems. Join an exciting, rewarding and fast paced environment! **What you'll be doing:** * Working closely with hardware architecture, driver, manufacturing, and field teams through the product development lifecycle of rack-scale AI systems. * Implementing and maintaining CUDA/C++ diagnostic workloads and software infrastructure used in chip development, validation, productization, and field triage. * Writing and tuning GPU compute tests that stress Tensor Cores, SMs, L2/cache hierarchy, HBM memory, and related power/thermal operating points. * Implementing and tuning GEMM-style diagnostic

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