NVIDIA

2 days ago

Senior Software Engineer, Test Infrastructure Development

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Develop scalable infrastructure software and manufacturing test solutions for NVIDIA datacenter and enterprise GPU/CPU server products. Build internal IDEs, universal test frameworks, diagnostic management systems, and AI-assisted workflows that improve diagnostic creation, verification, release automation, log analysis, and troubleshooting. Collaborate with test development, product development, software engineering, and operations teams while applying modern AI techniques such as LLMs, RAG, agents, semantic search, and workflow orchestration.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop IDEs and platforms to automate intelligent diagnostic creation, verification, validation, and release for NVIDIA system-level products.
•Build universal test frameworks to standardize diagnostic structures, workflows, metadata, and release processes across NVIDIA products.
•Develop and maintain diagnostic management systems to optimize and automate release processes for NVIDIA board and system products.
•Design AI-assisted tools and workflows to improve engineering productivity, including AI search, code generation, documentation assistance, log analysis, test result summarization, and intelligent troubleshooting.
•Apply AI technologies (LLMs, RAG, agents, function calling, semantic search, workflow orchestration) to upgrade infrastructure platforms and internal engineering tools.

Pay and Benefits

Salary: USD 132,000 - 253,000 annually

Equity and Bonus:Equity

Key Requirements

•BS in Computer Science, Computer Engineering, Electrical Engineering (or related) or equivalent experience, with 5+ years of related software development experience.
•Strong full-stack development skills across frontend, backend, databases, deployment, and system integration.
•Excellent Python programming and bash scripting experience.
•Solid database design experience, including building schemas, writing efficient queries, understanding execution plans, and applying indexes.
•Familiarity with JavaScript, React, CSS, HTML, and yarn or npm; experience with TypeScript and modern frontend build systems is a plus.

Experience:5+ yearsManufacturing testHardware diagnosticsDatacenterEnterprise productsAI-enhanced workflows

Education:Bachelor's

Skills:CollaborationProblem-solvingDocumentationCode reviewAutomation

Tech Stack:PythonBashJavaScriptReactCSSHTMLYarnNpmTypeScriptCreate React AppWebpackLLMsRAGAgentsFunction callingSemantic searchWorkflow orchestrationCI/CDContainerizationOAuth

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 days ago

Senior Software Engineer, Test Infrastructure Development

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop IDEs and platforms to automate intelligent diagnostic creation, verification, validation, and release for NVIDIA system-level products.
•Build universal test frameworks to standardize diagnostic structures, workflows, metadata, and release processes across NVIDIA products.
•Develop and maintain diagnostic management systems to optimize and automate release processes for NVIDIA board and system products.
•Design AI-assisted tools and workflows to improve engineering productivity, including AI search, code generation, documentation assistance, log analysis, test result summarization, and intelligent troubleshooting.
•Apply AI technologies (LLMs, RAG, agents, function calling, semantic search, workflow orchestration) to upgrade infrastructure platforms and internal engineering tools.

Pay and Benefits

Salary: USD 132,000 - 253,000 annually

Equity and Bonus:Equity

Key Requirements

•BS in Computer Science, Computer Engineering, Electrical Engineering (or related) or equivalent experience, with 5+ years of related software development experience.
•Strong full-stack development skills across frontend, backend, databases, deployment, and system integration.
•Excellent Python programming and bash scripting experience.
•Solid database design experience, including building schemas, writing efficient queries, understanding execution plans, and applying indexes.
•Familiarity with JavaScript, React, CSS, HTML, and yarn or npm; experience with TypeScript and modern frontend build systems is a plus.

Experience:5+ yearsManufacturing testHardware diagnosticsDatacenterEnterprise productsAI-enhanced workflows

Education:Bachelor's

Skills:CollaborationProblem-solvingDocumentationCode reviewAutomation

Tech Stack:PythonBashJavaScriptReactCSSHTMLYarnNpmTypeScriptCreate React AppWebpackLLMsRAGAgentsFunction callingSemantic searchWorkflow orchestrationCI/CDContainerizationOAuth

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