Full-Time

Network Products Customer Quality Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$132k - $253kAnnually

+ Equity

Senior

California, USA + 2 more

More locations: Santa Clara, CA, USA | United States

Category
QA & Testing
Automation Testing
Quality Assurance
Required Skills
Data Analysis
Requirements
  • Bachelor’s degree in computer science, Electrical Engineering, Networking, or related field (or equivalent experience).
  • 5+ years of experience in customer quality engineering, network products, or technical support roles, preferably in a high-performance computing or networking environment.
  • Hands-on experience with network hardware (e.g., switches, routers, NICs) and software (e.g., network operating systems, virtualization technologies, etc.).
  • Experience with bug tracking and customer issue management systems
  • Experience in quality assurance or customer quality engineering, particularly in networking, cloud, or enterprise-grade products.
Responsibilities
  • Champion Customer Experience: Act as the bridge between NVIDIA’s internal teams (Product Management, Engineering, and QA) and our customers. Work directly with customers to define their quality requirements and ensure that their voices are heard and represented in the product lifecycle.
  • Lead Quality Innovation: Drive forward-thinking, proactive quality programs that ensure the excellence of our network products. Build systems that anticipate and address potential issues before they arise, using a blend of analytics, predictive insights, and customer feedback loops.
  • Own the End-to-End Quality Process: Take full ownership of customer-facing issues, from investigation to resolution. Your mission will include root cause analysis, troubleshooting complex network environments, and ensuring that customer escalations are turned into opportunities for long-term product improvements.
  • Pioneering Testing Methodologies: Explore new and untested approaches for quality assurance in the network space. Whether it’s harnessing the power of AI to improve test automation, or designing novel stress-testing methodologies, you’ll be innovating on traditional QA techniques.
  • Customer-Focused Product Development: Partner with product management and engineering teams early in the product lifecycle to ensure that quality is baked into every step of the development process. Help define quality metrics that align with customer expectations and ensure we deliver outstanding, reliable products.
  • Create Customer-First Solutions: Be the 'Customer Whisperer' by understanding the nuances of customer environments, workflows, and pain points. Collaborate cross-functionally to design solutions that solve problems before they impact customers.
Desired Qualifications
  • Background in quality automation and creating innovative test infrastructures, especially in networked systems.
  • Experience with system-level debugging, performance tuning, and diagnostics in complex environments.
  • Experience working directly with large enterprise clients, or managed service providers.
  • Knowledge of AI-driven systems and their integration with network products.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable clients to achieve immersive experiences and drive advancements in their respective fields.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match