Senior CUDA Test Development Software Engineer, SDET

NVIDIA
Shanghai
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Problem-solving","Collaboration"]

Join the CUDA Test Development team to design and implement functional and performance tests for CUDA components such as drivers and libraries. Build and automate CUDA test suites, create test plans, integrate them into automation infrastructure, and triage failures or performance drops with root-cause analysis. Develop scripts and tools to streamline workflows and improve testing efficiency and productivity.

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FursaFursa
NVIDIA
NVIDIA
6 days ago

Senior CUDA Test Development Software Engineer, SDET

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Last checked: 1 hour agoStatus: Live

Job Summary

Join the CUDA Test Development team to design and implement functional and performance tests for CUDA components such as drivers and libraries. Build and automate CUDA test suites, create test plans, integrate them into automation infrastructure, and triage failures or performance drops with root-cause analysis. Develop scripts and tools to streamline workflows and improve testing efficiency and productivity.
Location: Shanghai
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and implement functional and performance tests for CUDA products such as drivers and libraries.
  • •Automate CUDA tests by creating test plans and integrating into automation testing infrastructure.
  • •Triage test results, perform root-cause analysis for failures or performance drops, and drive bug fixes.
  • •Develop scripts and tools to optimize workflows and improve efficiency and productivity.

Key Requirements

  • •MS or PhD degree in computer science or a related field.
  • •At least 3 years of relevant professional experience.
  • •Excellent QA sense and experience in software testing.
  • •Strong test case development, test automation, and failure analysis experience.
  • •Proficient in C/C++ and Python, with comprehensive Linux and Windows knowledge.
Experience:3+ years
Education:Master's in computer science or related fieldleading university
Skills:Problem-solvingCollaboration
Languages:English
Tech Stack:CUDAC/C++PythonLinuxWindowsGcovVectorCASTCoverityHPC

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
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Glassdoor: 4.3
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