NVIDIA

3 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: 1 hour agoStatus: Live

Job Summary

Define, develop, and execute software tests for NVIDIA Deep Learning software and GPU infrastructure. Partner with global cross-functional teams to plan, design, automate, and report test plans and cases, manage bug lifecycles, and reproduce/verify customer issues. Collaborate on test framework architecture and use AI-powered tools to improve efficiency and quality across diverse GPU computing platforms for autonomous driving, healthcare, and speech/NLP scenarios.

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with global cross-functional teams to understand test requirements and take ownership of product quality.
•Plan, design, execute, report, and automate test plans, test cases, and test reports.
•Manage bug lifecycle and work with other groups to drive solutions.
•Automate test cases and help architect, craft, and implement test frameworks.
•Reproduce and verify customer issues and fixes, using AI-powered tools to improve efficiency and quality.

Key Requirements

•BS or higher degree in CS/EE/CE or equivalent experience.
•5+ years in software quality assurance or test automation, with knowledge of test infrastructure and strong analysis skills.
•Scripting skills in Python, Perl, or Bash, plus UNIX/Linux experience.
•Good C/C++ software development and DevOps or test development experience.
•Experience with virtualization technologies (VM and Docker containers) and strong English communication skills.

Experience:5+ yearsAIDeep LearningGPU computingTest automation

Education:Bachelor's in CS/EE/CE

Skills:CommunicationTeamworkResponsivenessThoroughnessPrioritization

Languages:English

Tech Stack:PythonPerlBashUNIXLinuxCC++DevOpsVMDockerAI agentsVectorCASTBullseyeGcovCoverityCUDACUDA librariesTRTTRT-LLMEdge-LLM

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

3 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: 1 hour agoStatus: Live

Job Summary

Location: Shanghai

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Collaborate with global cross-functional teams to understand test requirements and take ownership of product quality.
•Plan, design, execute, report, and automate test plans, test cases, and test reports.
•Manage bug lifecycle and work with other groups to drive solutions.
•Automate test cases and help architect, craft, and implement test frameworks.
•Reproduce and verify customer issues and fixes, using AI-powered tools to improve efficiency and quality.

Key Requirements

•BS or higher degree in CS/EE/CE or equivalent experience.
•5+ years in software quality assurance or test automation, with knowledge of test infrastructure and strong analysis skills.
•Scripting skills in Python, Perl, or Bash, plus UNIX/Linux experience.
•Good C/C++ software development and DevOps or test development experience.
•Experience with virtualization technologies (VM and Docker containers) and strong English communication skills.

Experience:5+ yearsAIDeep LearningGPU computingTest automation

Education:Bachelor's in CS/EE/CE

Skills:CommunicationTeamworkResponsivenessThoroughnessPrioritization

Languages:English

Tech Stack:PythonPerlBashUNIXLinuxCC++DevOpsVMDockerAI agentsVectorCASTBullseyeGcovCoverityCUDACUDA librariesTRTTRT-LLMEdge-LLM

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