NVIDIA Networking Business Unit is looking for a Reliability Engineer for the qualification team. NVIDIA Networking division is a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer market-leading solutions that include adapter cards, switches, cables and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. In addition, we serve a wide range of markets including high performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. We are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. Our product line is focusing on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.

What you will be doing:

Participate in component-level reliability test definition using the NUDD (New, Unique, Different, and Difficult) process

Conduct analysis of test/field data to identify potential failure modes and reliability risks

Collaborate with design teams to ensure reliability considerations are incorporated into component design

Participate in product and engineering design reviews, assessing the reliability budget of products/designs and inspire changes that improve product reliability

Identifying reliability threats and assessing risks

Improving procedures and methodologies

Develop present methods of correlating reliability test results with actual field performance

Perform statistical data analysis, modeling, acceleration factors calculations and MTBF predictions

What we need to see:

B.Sc. in Mechanical/Electrical Engineering (or equivalent experience)

5+ years of related work experience preferred qualifications

Familiarity with industry standards related to component reliability

Strong understanding of statistical analysis and reliability prediction techniques

Sharp thinking and good decision-making skills

Ways to stand out from the crowd:

Strong verbal and written communication skills with the ability to collaborate with personnel from all levels of the organization

Advanced data analysis skills: Emphasize proficiency in statistical analysis tools and software like Minitab, JMP

Cross-functional leadership: Emphasize experience in leading cross-functional teams to drive reliability initiatives across an organization.

Fluent English

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