Full-Time

IC Reliability 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

$128k - $201.3kAnnually

+ Equity

Mid, Senior

Santa Clara, CA, USA

Category
DevOps & Infrastructure
Site Reliability Engineering

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • MS/Ph.D. in related fields such as physical engineering, mechanical, materials and electrical engineering (or equivalent experience)
  • Minimum of 4 years working experience in reliability engineering related to electronic packaging and modules
  • Knowledge using DfR and FEA tools is desired
  • Strong familiarity with statistics and reliability mathematics
  • Familiar with electronic packaging, reliability testing and failure analysis
  • Familiar with reliability requirements for various IC packages
  • Knowledge of failure analysis for electronics products and components
  • Must be able to work independently with minimal supervision and drive projects to conclusion in an efficient and effective manner
  • Quick thinking, good decision making and problem-solving skills
  • Self-motivated, patient, desire to take challenges with good communication skills (written and oral). Ability to provide updates to senior management clearly and concisely.
Responsibilities
  • Reliability (DfR) qualification and testing for various packaging including GPU/CPU, power model, memory IC, wifi module and etc.
  • Work with design and operations teams to create board and system reliability test plans for various products such as GPU, Server, Automotive, Gaming, and Embedded;
  • Develop and assess reliability for electrical failures related to high-speed signal, power devices and connectors;
  • Develop and assess reliability for various mechanical components and latest thermal cooling technologies;
  • Coordinate and conduct packaging reliability testing in internal and external laboratories;
  • Work with suppliers and partners to perform reliability qualification of third party’s key components including memory, regulator, power IC and connectors;
  • Model field RMA data as compared to testing data;
  • Perform FEA to assist PCBA and system mechanical structural design;
  • Analyze and track failure patterns of various interfaces inside packaging.
Desired Qualifications
  • Track record of successful project execution in the packaging process, reliability testing and modelling.

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 immersive experiences and drive advancements across multiple industries.

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.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Company Equity

401(k) Company Match