[Remote] Senior Manufacturing Test Engineer at NVIDIA

Texas, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, AI, ManufacturingIndustries

Requirements

  • Master's degree (or equivalent experience) in Electrical, Mechanical, Materials, or related fields/equivalent experience
  • 5+ years of experience
  • Extensive experience and expertise in functional test hardware, including design, development, validation, and implementation
  • Experience in the setup, maintenance, and troubleshooting of functional test hardware for production
  • Strong knowledge of board manufacturing flow, proven test hardware capabilities, and extensive experience with successful results
  • Expert communication, problem-solving, and decision-making abilities
  • Strong teamwork abilities, excellent analytical skills, and good work habits
  • Independent and capable of completing tasks with minimal supervision

Responsibilities

  • Oversee the production of functional test hardware solutions with functional teams, from design and development to validation and implementation
  • Coordinate the mechanical and thermal solutions for new test platforms and future products in collaboration with cross-functional teams
  • Assess the test platform for new products in the QT line and facilitate a swift transition to overseas production
  • Enhance the manufacturing testing process with collaboration from CMs and global teams
  • Technically coordinate test fixture and platform automation with suppliers, contract manufacturers, and the global team
  • Provide detailed procedures, documents, and technical support as needed
  • Validate tester platforms with functional teams
  • Define validation plans
  • Automate test infrastructure configurations
  • Identify and resolve manufacturing process issues with CM factories

Skills

Manufacturing Testing
Test Automation
Test Fixture
Validation
Problem-Solving
Electrical Engineering
Mechanical Engineering

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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