Senior Board Test Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering or equivalent experience
8+ years of experience with post-silicon validation experience in Board or System products
Experience working with manufacturing test programs at platform level
Background with Python programming and bash scripting
Experience working with different board or system level products
Solid Knowledge of IPMI, PCIE, BMC, and Thermal Solutions
Excellent problem-solving skills, attention to detail, and effective communication skills
Ability to travel, as needed. This role could exceed 30% travel for certain projects

Responsibilities

Define manufacturing test solutions that translate into methodologies and processes applicable across Board and System product segments
Develop test strategies for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software
Support the development of test content and solutions in Python
Collaborate with different teams to develop GPU and CPU testing coverage, including HW Design, Quality, Software Development
Investigate and introduce new manufacturing test technology and methodology to improve production efficiency
Contribute to our automated Diag generation and validation infrastructure
Review and provide feedback for DFT in the early design stages
Debug complex hardware and software issues at our manufacturing locations in the US, Mexico and Taiwan

Skills

Python

Post-Silicon Validation

Board Test

DFT

Test Fixtures

Test Equipment

Diagnostic Software

GPU Testing

CPU Testing

Hardware Debugging

Software Debugging

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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