Senior DFT Methodology - Data Analytics Engineer
NVIDIAJob Title
Senior DFT Methodology - Data Analytics Engineer
Role Summary
This position involves working with pre-silicon and post-silicon data analytics focused on visualization, insights, and modeling. The role includes collaboration with multi-functional teams to develop new methodologies aimed at improving chip quality and addressing complex challenges in Design For Test engineering.
Experience Level
Senior-level position requiring 3-7 years of relevant experience depending on educational background.
Responsibilities
Key responsibilities include:
- Analyzing data and providing insights through visualization techniques.
- Implementing methodologies for improving chip quality including fault modeling and Silicon Lifecycle Management.
- Tackling complex problems in the Design For Test space using algorithm design and statistical tools.
- Developing and deploying DFT methodologies for next-generation products.
- Mentoring junior engineers on design trade-offs including cost and quality considerations.
Requirements
Must-have qualifications:
- BSEE with 7+ years, MSEE with 5+ years, or PhD with 3+ years in low-power DFT, Data Visualization, Applied Machine Learning, or Database Management.
- Solid understanding of DFT fundamentals such as fault modeling, ATPG, and fault simulation.
- Experience with statistical tools for data analysis.
- Proficiency in programming and scripting languages such as Perl, Python, C++, or Tcl.
- Strong communication skills and ability to work on rare challenges.
Education Requirements
BSEE, MSEE, or PhD in a relevant field.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
