NVIDIA

2 weeks ago

Senior Deep Learning Test Development Engineer, SDET

✓ 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

Build and maintain test plans, test cases, and automated reports for NVIDIA AI software and GPU infrastructure. Partner with global cross-functional teams to define quality requirements, manage bug lifecycles, reproduce and verify customer issues, and enable test coverage for CI/CD. Work across diverse GPU computing platforms and help improve workflow efficiency while applying strong Linux/UNIX, Python, and virtualization (VM/Docker/Kubernetes/Slurm) expertise.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Partner with global cross-functional teams to understand test requirements and take ownership of product quality.
•Plan, design, execute, report, and automate test plans and test case/test reports.
•Manage bug lifecycle and collaborate across groups to drive solutions.
•Automate test cases and assist with enabling tests for CI/CD.
•Reproduce and verify customer issues and fixes in-house.

Key Requirements

•Master’s degree or higher in computer science or a similar field.
•5+ years of software quality assurance or test automation experience with knowledge of test infrastructure and strong analysis skills.
•UNIX/Linux administrator and troubleshooting experience.
•Strong Python software development/test development skills, including familiarity with Python CI/CD pipeline development.
•Experience with AI tools/products or using AI for major features, plus good experience with virtualization (VM, Docker containers, Kubernetes, Slurm).

Experience:5+ yearsAIGPU infrastructureDeep learningTest automationCI/CDSoftware quality assurance

Education:Master's in Computer science or similar

Skills:AnalysisTroubleshootingResponsibilityResponsivenessCommunication

Languages:English

Tech Stack:AISoftware Quality AssuranceTest automationTest plansTest casesPythonCI/CDUNIXLinuxUNIX/Linux troubleshootingDockerVMKubernetesK8sSlurmMicrocontroller programmingPytorchNemotronVLLMSGLang

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 weeks ago

Senior Deep Learning Test Development Engineer, SDET

✓ 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: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Partner with global cross-functional teams to understand test requirements and take ownership of product quality.
•Plan, design, execute, report, and automate test plans and test case/test reports.
•Manage bug lifecycle and collaborate across groups to drive solutions.
•Automate test cases and assist with enabling tests for CI/CD.
•Reproduce and verify customer issues and fixes in-house.

Key Requirements

•Master’s degree or higher in computer science or a similar field.
•5+ years of software quality assurance or test automation experience with knowledge of test infrastructure and strong analysis skills.
•UNIX/Linux administrator and troubleshooting experience.
•Strong Python software development/test development skills, including familiarity with Python CI/CD pipeline development.
•Experience with AI tools/products or using AI for major features, plus good experience with virtualization (VM, Docker containers, Kubernetes, Slurm).

Experience:5+ yearsAIGPU infrastructureDeep learningTest automationCI/CDSoftware quality assurance

Education:Master's in Computer science or similar

Skills:AnalysisTroubleshootingResponsibilityResponsivenessCommunication

Languages:English

Tech Stack:AISoftware Quality AssuranceTest automationTest plansTest casesPythonCI/CDUNIXLinuxUNIX/Linux troubleshootingDockerVMKubernetesK8sSlurmMicrocontroller programmingPytorchNemotronVLLMSGLang

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