Enterprise Software Test Development Engineer (RDSS Intern)

NVIDIA
Taipei
Workplace: OnsiteInternshipFunction: Solutions Engineering & Sales EngineeringEducation: mastersSkills: ["Creative","Self-motivated","Ownership","Communication","Organizational"]

Help ensure the quality of NVIDIA enterprise server firmware and software by building scalable test infrastructure and automated validation solutions. Partner with firmware and software engineers to design and execute feature-validation plans, using AI tools and LLM-enabled workflows to accelerate test development, log analysis, failure triage, and debugging. Apply data analysis for quality trend identification and root-cause analysis across software and hardware components.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Enterprise Software Test Development Engineer (RDSS Intern)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Help ensure the quality of NVIDIA enterprise server firmware and software by building scalable test infrastructure and automated validation solutions. Partner with firmware and software engineers to design and execute feature-validation plans, using AI tools and LLM-enabled workflows to accelerate test development, log analysis, failure triage, and debugging. Apply data analysis for quality trend identification and root-cause analysis across software and hardware components.
Location: Taipei
Workplace: Onsite
Employment Type: Internship
Job Function: Solutions Engineering & Sales Engineering
Seniority: Intern level

Key Responsibilities

  • •Develop and maintain automated test solutions for infrastructure-based data-center platforms.
  • •Build scalable test infrastructure, frameworks, and tools for firmware, BaseOS, and enterprise-server validation.
  • •Collaborate with software and firmware engineers to design, implement, and execute feature-validation plans.
  • •Apply AI tools and LLM-enabled workflows to improve test development, log analysis, failure triage, debugging, and engineering productivity.
  • •Use data analysis to identify quality trends, investigate failures, and drive root-cause analysis across software and hardware components.

Key Requirements

  • •Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent practical experience).
  • •Strong programming skills in Python and C/C++.
  • •Experience with Linux development, system debugging, and automation frameworks.
  • •Familiarity with CI/CD tools such as Jenkins.
  • •Demonstrated interest or hands-on experience with AI/ML frameworks and LLMs, including responsible use and validating AI-generated output.
Education:Master's
Skills:CreativeSelf-motivatedOwnershipCommunicationOrganizational
Languages:English
Tech Stack:PythonC/C++LinuxJenkinsCI/CDAI/MLLLMsLarge language modelsAI-assisted developmentAI-enabled automationTest infrastructureAutomation frameworksData analysisDebuggingLog analysis

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
Glassdoor: 4.3
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