Senior System 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, Semiconductor, DatacenterIndustries

Requirements

5+ years of hands-on post-silicon validation experience with system-level products
Bachelor’s degree in a relevant field or equivalent experience
Proven expertise in developing and supporting manufacturing test programs at the platform level
Demonstrated experience with data center platforms and large-scale system architectures
Proficient in Python programming and Bash scripting for automation and data analysis
Strong problem-solving abilities, meticulous attention to detail, and exceptional communication skills

Responsibilities

Define and implement manufacturing test solutions for Datacenter System products
Investigate and introduce new manufacturing test technology and methodology to improve production efficiency
Develop test strategy for new product features including identification, specification, design and qualification of test fixtures, test equipment and diagnostic software
Review and provide feedback for DFT in the early design stages
Debug complex hardware and software issues during build phases
Contribute to automated diagnostic generation and validation infrastructure
Frequent travel to CM sites, both local and overseas to provide on-site support for builds and factory operations as necessary

Skills

Python

Post-Silicon Validation

Manufacturing Test

DFT

Test Automation

System-Level Testing

Data Center Platforms

Hardware Debugging

Diagnostic Software

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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