NVIDIA

2 months ago

Senior System Software Engineer – Data Center GPU Compute Diagnostics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Senior system software engineer to develop low-level diagnostic and stress software for data center GPU compute systems, focusing on GPUs, CUDA kernels, GEMM workloads, NCCL patterns, and high-speed interconnects. Collaborates with hardware architecture, silicon validation, and field teams to validate next-generation processors and rack-scale AI systems, mentoring others and delivering robust test workloads.

Location: Durham

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Work closely with hardware architecture, driver, manufacturing and field teams through the product development lifecycle of rack-scale AI systems.
•Craft CUDA/C++ diagnostic workloads and software infrastructure required for new chip development, validation, production, and field triage.
•Design and implement GPU compute tests that stress Tensor Cores, SMs, L2/cache hierarchy, HBM memory, and related power/thermal operating points.
•Develop and tune GEMM-style diagnostic workloads, including tests with NVLink, PCIe or CPU subsystems.
•Develop and integrate higher-level AI workload tests, including PyTorch-based large model workloads to stress GPUs, memory, interconnects, thermals, and system software.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
•12+ years of system software, GPU software, embedded software, or hardware validation experience.
•Experience driving technical work across multiple engineers, mentoring others, or leading development of a complex software component.
•Experience writing diagnostics and stress tests that interface to low-level hardware drivers and hardware registers.
•Strong C/C++ and Python programming skills.

Experience:12+ yearsGPUData centerAIHigh-performance computing

Education:Bachelor's

Skills:C++PythonCUDALinuxGPUNCCLCUDA kernelsPCIeNVLinkGEMMPyTorch

Tech Stack:C++PythonCUDALinuxNCCLCUDA kernelsGPUPCIeNVLinkGEMMPyTorch

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior System Software Engineer – Data Center GPU Compute Diagnostics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Durham

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Work closely with hardware architecture, driver, manufacturing and field teams through the product development lifecycle of rack-scale AI systems.
•Craft CUDA/C++ diagnostic workloads and software infrastructure required for new chip development, validation, production, and field triage.
•Design and implement GPU compute tests that stress Tensor Cores, SMs, L2/cache hierarchy, HBM memory, and related power/thermal operating points.
•Develop and tune GEMM-style diagnostic workloads, including tests with NVLink, PCIe or CPU subsystems.
•Develop and integrate higher-level AI workload tests, including PyTorch-based large model workloads to stress GPUs, memory, interconnects, thermals, and system software.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•BS or MS degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent experience.
•12+ years of system software, GPU software, embedded software, or hardware validation experience.
•Experience driving technical work across multiple engineers, mentoring others, or leading development of a complex software component.
•Experience writing diagnostics and stress tests that interface to low-level hardware drivers and hardware registers.
•Strong C/C++ and Python programming skills.

Experience:12+ yearsGPUData centerAIHigh-performance computing

Education:Bachelor's

Skills:C++PythonCUDALinuxGPUNCCLCUDA kernelsPCIeNVLinkGEMMPyTorch

Tech Stack:C++PythonCUDALinuxNCCLCUDA kernelsGPUPCIeNVLinkGEMMPyTorch

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor