NVIDIA

3 weeks ago

Senior Software Development Engineer in Test, Confidential Computing - SDET

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join NVIDIA’s Confidential Computing QA team to build and automate test plans for compute software releases across new GPU and system platforms. You’ll design scalable test infrastructure and orchestration workflows for distributed silicon validation, enhance code coverage and reliability, and leverage AI tools to improve automation and results. Collaborate with cross-functional teams to productize testing features, run regression for CUDA/Driver, and continuously raise performance, quality, and usability for worldwide validation teams.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Develop test plans and orchestrate testing for compute software releases across new compute architecture platforms, including Tesla GPUs, turnkey systems, and OEM systems.
•Build robust test infrastructure and automation frameworks that use advanced AI tools to enhance testing capabilities and streamline operations.
•Improve code coverage by elevating the quality and reliability of the codebase and testing processes; define roadmaps across tool development, testing, and deployment.
•Collaborate across teams to identify new features, lead their definition and automation implementation, and productize those features on schedule.
•Build and operate infrastructure for automation framework development and automation support, including participating in automation of manual test cases and running regression tests for CUDA/Driver features.

Pay and Benefits

Salary: USD 168,000 - 270,250 annually

Equity and Bonus:Equity

Key Requirements

•BS or MS in Engineering (or equivalent experience) with 8+ years testing the software development cycle.
•Solid understanding of embedded systems, Linux, Python, C, and C++.
•Experience applying AI tools for automation and test plan development to daily tasks.
•Strong technical skills in orchestration and automation systems, including data centers and cloud architecture.
•Knowledge of QA methodology with attention to detail, including test strategy/test plans and cluster or cluster management.

Experience:8+ yearsEmbedded systemsCloudQA testingConfidential computing

Education:Bachelor's in Engineering

Skills:Attention to detailsCollaborationProblem-solvingContinuous improvement

Tech Stack:PythonCC++LinuxAI toolsCUDADriverTest planOrchestrationAutomationHypervisorsCloud infrastructureAnsibleDockerXenKVMHyper-VCMakeMesonAutomake

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 weeks ago

Senior Software Development Engineer in Test, Confidential Computing - SDET

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Seniority: Mid level

Key Responsibilities

•Develop test plans and orchestrate testing for compute software releases across new compute architecture platforms, including Tesla GPUs, turnkey systems, and OEM systems.
•Build robust test infrastructure and automation frameworks that use advanced AI tools to enhance testing capabilities and streamline operations.
•Improve code coverage by elevating the quality and reliability of the codebase and testing processes; define roadmaps across tool development, testing, and deployment.
•Collaborate across teams to identify new features, lead their definition and automation implementation, and productize those features on schedule.
•Build and operate infrastructure for automation framework development and automation support, including participating in automation of manual test cases and running regression tests for CUDA/Driver features.

Pay and Benefits

Salary: USD 168,000 - 270,250 annually

Equity and Bonus:Equity

Key Requirements

•BS or MS in Engineering (or equivalent experience) with 8+ years testing the software development cycle.
•Solid understanding of embedded systems, Linux, Python, C, and C++.
•Experience applying AI tools for automation and test plan development to daily tasks.
•Strong technical skills in orchestration and automation systems, including data centers and cloud architecture.
•Knowledge of QA methodology with attention to detail, including test strategy/test plans and cluster or cluster management.

Experience:8+ yearsEmbedded systemsCloudQA testingConfidential computing

Education:Bachelor's in Engineering

Skills:Attention to detailsCollaborationProblem-solvingContinuous improvement

Tech Stack:PythonCC++LinuxAI toolsCUDADriverTest planOrchestrationAutomationHypervisorsCloud infrastructureAnsibleDockerXenKVMHyper-VCMakeMesonAutomake

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