NVIDIA

3 months ago

Senior Tools Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design and build agentic infrastructure for test automation and quality engineering on the NVIDIA Omniverse platform. Own end-to-end outcomes with autonomy, creating multi-agent Pipelines, orchestration frameworks, and evaluation systems to improve reliability, observability, and adoption of automation tools across the QA team.

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build and deploy agentic test pipelines to automate test generation, log analysis, failure triage, and bug filing workflows.
•Develop and maintain agent orchestration frameworks using tools such as Claude Code, MCP servers, and agent SDK patterns.
•Create autonomous pipelines that route failures, surface root causes, and generate actionable bug reports with reduced cognitive load for engineers.
•Build evaluation systems to measure agent output quality and ensure reliability of autonomous pipelines.
•Establish observability and monitoring for agentic workflows so failures are transparent, debuggable, and recoverable.

Key Requirements

•Strong Python engineering with a system-level perspective and ability to write clean, maintainable code.
•Deep familiarity with AI-native development workflows (Claude Code, Cursor, LLM APIs) and production-grade prompt engineering.
•Hands-on experience building multi-agent or autonomous systems that have shipped and run without continuous supervision.
•Clear understanding of where LLMs fail (hallucination, context degradation, tool misuse) and experience building mitigations and evaluation frameworks into system design.
•Graduate degree in Computer Science Engineering or equivalent; 5+ years in test automation, CI/CD pipeline design, or software quality engineering, including failure analysis and test triage at scale.

Experience:5+ yearsAISoftware testingOmniverse

Education:Master's

Skills:PythonProblem-solvingCommunicationTeam collaborationCritical thinking

Languages:English

Tech Stack:PythonClaude CodeCursorLLM APIsMulti-agentAgent SDKCI/CDTestingLog analysisOpenUSDNVIDIA Omniverse

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

3 months ago

Senior Tools Development Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Pune

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Build and deploy agentic test pipelines to automate test generation, log analysis, failure triage, and bug filing workflows.
•Develop and maintain agent orchestration frameworks using tools such as Claude Code, MCP servers, and agent SDK patterns.
•Create autonomous pipelines that route failures, surface root causes, and generate actionable bug reports with reduced cognitive load for engineers.
•Build evaluation systems to measure agent output quality and ensure reliability of autonomous pipelines.
•Establish observability and monitoring for agentic workflows so failures are transparent, debuggable, and recoverable.

Key Requirements

•Strong Python engineering with a system-level perspective and ability to write clean, maintainable code.
•Deep familiarity with AI-native development workflows (Claude Code, Cursor, LLM APIs) and production-grade prompt engineering.
•Hands-on experience building multi-agent or autonomous systems that have shipped and run without continuous supervision.
•Clear understanding of where LLMs fail (hallucination, context degradation, tool misuse) and experience building mitigations and evaluation frameworks into system design.
•Graduate degree in Computer Science Engineering or equivalent; 5+ years in test automation, CI/CD pipeline design, or software quality engineering, including failure analysis and test triage at scale.

Experience:5+ yearsAISoftware testingOmniverse

Education:Master's

Skills:PythonProblem-solvingCommunicationTeam collaborationCritical thinking

Languages:English

Tech Stack:PythonClaude CodeCursorLLM APIsMulti-agentAgent SDKCI/CDTestingLog analysisOpenUSDNVIDIA Omniverse

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