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Senior Product Quality and Reliability Engineer

NVIDIANVIDIA·Semiconductors

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7 days

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About the role

Join NVIDIA's outstanding team and contribute to our legacy of innovation in the Senior Product Quality and Reliability role! At NVIDIA, we are dedicated to pushing the boundaries of pioneering technology. The Senior Product Quality and Reliability Engineer will provide leadership and management for the Networking system product quality within the organization. Establish, maintain, and optimize an effective quality management methods and target to achieve high quality performance.

As part of our team, you will work on networking system products and ensure their readiness for high-volume manufacturing. Leading and mentoring root cause analysis for issues related to design, manufacturing or customers.  Enhance and improve products performance by proactive risk assessment and other prevention methods. This is an outstanding opportunity to be part of a company that is crafting the future of AI and computing.

 

What you’ll be doing:

  • Own Product Quality and Reliability performance of Networking system products. Providing leadership expertise in product performance and quality.

  • Maintain and monitor product health thru structured routines and metrics, enable effective alert mechanism for early identification 

  • Lead structured problem solving and risk assessment for quality issues originating from production and customer. Ensure product readiness for HVM manufacturing and scale

  • Responsible for customer quality issues and working within organization to resolve

  • Lead critical processes for product quality and performance  e.g - CRB, PCN ; Non conforming material review - MRB

  • Drive continues improvement initiatives in design, verification and validation processes, manufacturing quality throughout the entire product life cycle and improvement plan.

What we need to see:

  • Graduate in Electrical engineering / Chemical / Mechanical Science, other technical degrees will be considered.

  • 8+ years experience leading quality of multidisciplinary products (Electrical, Mechanical, Process)

  • Proficient with Product lifecycle management and QMS processes

  • Strong written and verbal communication, ability to interact at all management levels

  • Strong organizational and project management skills , proven matrix management experience in high paced ​ dynamic environment

  • Experience facilitating complex problem solving​

 

Ways to stand out from the crowd:

  • Experience from process oriented electronic manufacturing industry along with top data center customers

  • Familiar with NVlink and Ethernet products and protocols

  • Experience in System integration and/or HW board design manufacturing 

  • Strong problem-solving skills and analytical ability.

Skills & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$208.19-0.22%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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