our company's Networking Business Unit is seeking for a highly motivated and experienced Reliability Expert to join our team. In this critical role, you will be responsible for ensuring the reliability of our complex systems, focusing specifically on critical components and the liquid cooling system. You will define and execute reliability test plans, analyze data, and drive improvements to enhance the overall robustness and performance of our products. This position requires a deep understanding of reliability principles, testing methodologies, and a passion for identifying and mitigating potential failures. our company's 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:
You'll have the opportunity to interface and interact with all pertinent engineering groups, suppliers, and partners ensuring the desired reliability is achieved using Design for Quality and Reliability (DFQR) methods including FMEA approaches
Collaborate with design engineers to incorporate quality and reliability principles into the design of new products and systems. Provide input on component selection, material selection, and design features to enhance reliability
Participate in product and engineering design reviews, assessing the reliability budget of products/designs and inspire changes which improve product reliability
Identifying reliability threats and assessing risks
Improving procedures and methodologies
Define and implement Reliability test plans.
What you will be doing:
You'll have the opportunity to interface and interact with all pertinent engineering groups, suppliers, and partners ensuring the desired reliability is achieved using Design for Quality and Reliability (DFQR) methods including FMEA approaches
Collaborate with design engineers to incorporate quality and reliability principles into the design of new products and systems. Provide input on component selection, material selection, and design features to enhance reliability
Participate in product and engineering design reviews, assessing the reliability budget of products/designs and inspire changes which improve product reliability
Identifying reliability threats and assessing risks
Improving procedures and methodologies
Define and implement Reliability test plans.
Requirements:
Bachelor's degree in Engineering (Mechanical, Electrical, Materials Science, or related field) required; Master's degree preferred.
At least 8 years of experience in reliability engineering, with a focus on critical components and complex systems. Experience with liquid cooling systems is highly desirable.
A strong technical background and experience driving cross-functional teams
Sharp thinking and good decision-making skills
Ways to stand out from the crowd:
Strong understanding of reliability principles, including statistical analysis, Weibull analysis, and reliability prediction methods
Experience in industries such as data centers.
Knowledge of material science and manufacturing processes.
Bachelor's degree in Engineering (Mechanical, Electrical, Materials Science, or related field) required; Master's degree preferred.
At least 8 years of experience in reliability engineering, with a focus on critical components and complex systems. Experience with liquid cooling systems is highly desirable.
A strong technical background and experience driving cross-functional teams
Sharp thinking and good decision-making skills
Ways to stand out from the crowd:
Strong understanding of reliability principles, including statistical analysis, Weibull analysis, and reliability prediction methods
Experience in industries such as data centers.
Knowledge of material science and manufacturing processes.
This position is open to all candidates.
