NVIDIA

1 month ago

Tegra Manufacturing Test Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Manufacturing test engineer role focusing on embedded/automotive product test automation and diagnosis for Tegra platforms. Work with hardware, software, and operations teams to develop test tooling, automate data collection, and deploy AI-driven production automation, while qualifying equipment and supporting diag tools across board/system levels.

Location: Hanoi

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Help design tools to automate product definitions, data collection, test case execution, and results analysis
•Drive Tegra diagnosis and analyze test issues at the embedded/automotive products level with hardware, software, and operations engineering teams
•Qualify equipment/fixture and tooling for NVIDIA MFG usage model
•Data automation and tool generation. Co-work with CM to realize embedded/automotive product test automation. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and deploy AI for NVIDIA production automation
•Assist, develop, and provide feedbacks on embedded/automotive products debug tools to SW team members

Key Requirements

•BS or MS in EE, CS, Automatic Control or Systems Engineering with 5+ years of related experience
•Experience with MCU/FPGA programming/debugging is a plus
•Hands-on experience with lab tools (oscilloscopes, multimeters)
•Deep knowledge of low-level software drivers and kernel
•Ability to debug at board level and use probing hardware

Experience:5+ yearsEmbeddedAutomotiveHardwareSemiconductor

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAnalyticalSelf-motivated

Languages:English

Tech Stack:MCUFPGAOscilloscopeMultimeterPythonJavaPerlVBShellAIMachine learningEmbeddedDriversKernelLinux

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

1 month ago

Tegra Manufacturing Test Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Hanoi

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Help design tools to automate product definitions, data collection, test case execution, and results analysis
•Drive Tegra diagnosis and analyze test issues at the embedded/automotive products level with hardware, software, and operations engineering teams
•Qualify equipment/fixture and tooling for NVIDIA MFG usage model
•Data automation and tool generation. Co-work with CM to realize embedded/automotive product test automation. Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and deploy AI for NVIDIA production automation
•Assist, develop, and provide feedbacks on embedded/automotive products debug tools to SW team members

Key Requirements

•BS or MS in EE, CS, Automatic Control or Systems Engineering with 5+ years of related experience
•Experience with MCU/FPGA programming/debugging is a plus
•Hands-on experience with lab tools (oscilloscopes, multimeters)
•Deep knowledge of low-level software drivers and kernel
•Ability to debug at board level and use probing hardware

Experience:5+ yearsEmbeddedAutomotiveHardwareSemiconductor

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationAnalyticalSelf-motivated

Languages:English

Tech Stack:MCUFPGAOscilloscopeMultimeterPythonJavaPerlVBShellAIMachine learningEmbeddedDriversKernelLinux

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