NVIDIA

2 months ago

Senior System Software Engineer - AI Performance and Efficiency Tools

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Develop tools to profile, analyze, and optimize AI workloads on large GPU clusters. Collaborate with Architecture and Software teams to deliver insights, debugging capabilities, and benchmarking solutions that improve performance and power efficiency for NVIDIA AI workloads.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build internal profiling and analysis tools for AI workloads at large scale.
•Develop debugging tools for common problems like memory or networking.
•Create benchmarking and simulation technologies for AI systems or GPU clusters.
•Partner with hardware architects to propose new features or improve existing ones with real-world use cases.
•Collaborate with multiple global teams to deliver robust performance analysis across NVIDIA AI workloads.

Key Requirements

•BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
•Strong software skills in design, coding (C++ and Python), analytical thinking, and debugging
•Good understanding of Deep Learning frameworks like PyTorch and TensorFlow, distributed training and inference
•Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking
•Experience with NVIDIA GPUs, CUDA programming and NCCL

Experience:5+ yearsAIGPUDistributed trainingDeep learning

Education:Bachelor's

Skills:C++PythonPyTorchTensorFlowCUDANCCLSlurmKubernetesGPU

Tech Stack:C++PythonPyTorchTensorFlowCUDANCCLSlurmKubernetesGPU

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 - AI Performance and Efficiency Tools

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Build internal profiling and analysis tools for AI workloads at large scale.
•Develop debugging tools for common problems like memory or networking.
•Create benchmarking and simulation technologies for AI systems or GPU clusters.
•Partner with hardware architects to propose new features or improve existing ones with real-world use cases.
•Collaborate with multiple global teams to deliver robust performance analysis across NVIDIA AI workloads.

Key Requirements

•BS+ in Computer Science or related (or equivalent experience) and 5+ years of software development
•Strong software skills in design, coding (C++ and Python), analytical thinking, and debugging
•Good understanding of Deep Learning frameworks like PyTorch and TensorFlow, distributed training and inference
•Knowledge of GPU cluster job scheduling (Slurm or Kubernetes), storage and networking
•Experience with NVIDIA GPUs, CUDA programming and NCCL

Experience:5+ yearsAIGPUDistributed trainingDeep learning

Education:Bachelor's

Skills:C++PythonPyTorchTensorFlowCUDANCCLSlurmKubernetesGPU

Tech Stack:C++PythonPyTorchTensorFlowCUDANCCLSlurmKubernetesGPU

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