[Closed] Senior System Software Engineer, AI Infrastructure at NVIDIA (Santa Clara)

This position is no longer accepting applications.

NVIDIA

4 weeks ago

Senior System Software Engineer, AI Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 24 minutes agoStatus: Closed

Job Summary

Senior System Software Engineer focused on AI infrastructure, optimizing multi-node GPU workloads, profiling DL models, and shaping developer experiences across NVIDIA’s AI platform stack. Collaborates with engineering, product, and marketing teams to improve hardware/software solutions, deliver performance insights, and create educational content for customers and press. Presents at major conferences and contributes to competitive positioning.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Run multi-node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education.
•Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks.
•Profile deep-learning workloads, identify bottlenecks, and deliver optimization guidance.
•Produce concise tutorials, scripts, and whitepapers for customers and tech press.
•Analyze competitive solutions and craft data-driven product positioning.

Pay and Benefits

Salary: USD 124,000 - 241,500 annually

Equity and Bonus:Equity

Key Requirements

•3+ years in software development, tech marketing, evangelism, or similar roles.
•BS/MS in CS, CE, EE, or related field (or equivalent experience).
•Strong Python and C++ skills for AI and HPC work.
•Hands-on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters.
•Solid grasp of DL architectures, PyTorch, and distributed training methods.

Experience:3+ yearsAI infrastructureGPU computingHPCDistributed training

Education:Master's

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PythonC++SlurmKubernetesCloudPyTorchCUDACuDNNTensorRTTritonNCCLInfiniBandNVLinkRoCERDMA

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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This position is no longer accepting applications.

NVIDIA

4 weeks ago

Senior System Software Engineer, AI Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 24 minutes agoStatus: Closed

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Run multi-node training/inference jobs on large GPU clusters to assess performance, validate usability, improve products, and create developer education.
•Design benchmark suites that spotlight NVIDIA hardware, networking, and software stacks.
•Profile deep-learning workloads, identify bottlenecks, and deliver optimization guidance.
•Produce concise tutorials, scripts, and whitepapers for customers and tech press.
•Analyze competitive solutions and craft data-driven product positioning.

Pay and Benefits

Salary: USD 124,000 - 241,500 annually

Equity and Bonus:Equity

Key Requirements

•3+ years in software development, tech marketing, evangelism, or similar roles.
•BS/MS in CS, CE, EE, or related field (or equivalent experience).
•Strong Python and C++ skills for AI and HPC work.
•Hands-on multi-node experience with Slurm, Kubernetes, or cloud CSP clusters.
•Solid grasp of DL architectures, PyTorch, and distributed training methods.

Experience:3+ yearsAI infrastructureGPU computingHPCDistributed training

Education:Master's

Skills:CommunicationCollaborationProblem-solving

Tech Stack:PythonC++SlurmKubernetesCloudPyTorchCUDACuDNNTensorRTTritonNCCLInfiniBandNVLinkRoCERDMA

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