Nvidia is hiring a
Senior Reliability Data Analyst Engineer
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:
Conduct thorough analysis of production data and RMA (Return Merchandise Authorization) data to identify trends, patterns, and anomalies
Utilize statistical analysis techniques to assess the reliability of products and systems, and identify areas for improvement
Collaborate with cross-functional teams, including production, quality assurance, and design engineering, to gather relevant data and insights for analysis
You will perform root cause analysis of failures and develop effective corrective actions based on data analysis finding
You will perform and lead appropriate reliability testing with associated failure analysis
What we need to see:
B.Sc. in Electrical Engineering (or equivalent experience)
5+ years of related work experience preferred qualifications
Proficiency in statistical analysis tools and programming languages (such as JMP, Python). Knowledge of data visualization tools and experience with database management systems.
Proven experience in analyzing large datasets, applying statistical methods, and using data analysis techniques.
The ability to perform thorough root cause analysis and develop effective corrective actions based on data analysis findings is highly valued. Strong problem-solving skills, critical thinking, and attention to detail.
Capacity to manage multiple projects simultaneously, prioritize tasks, meet deadlines, and adapt to changing priorities is often required. Strong organizational skills and the ability to work independently or as part of a team.
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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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