Package Design Methodology Engineer
NVIDIAJob Title
Package Design Methodology Engineer
Role Summary
Join NVIDIA's Advanced Package Engineering team to build production-grade EDA tools, flows, and methodologies for multi-die package design. The role focuses on automation and tooling that enable silicon and substrate design, analysis, and validation at scale.
Experience Level
Mid-level — expects 5+ years of relevant flow and methodology development experience.
Responsibilities
Deliver tools and flows that enable package design teams to design, analyze, and validate complex packages efficiently.
- Design and implement VLSI tooling for silicon and substrate/package design.
- Develop maintainable applications and automation to support project engineers.
- Create flows and methodologies for construction, analysis, and validation of package designs across production stages.
- Optimize engineers' daily workflows to improve throughput and tape-out schedules.
Requirements
Must-have technical skills and experience.
- 5+ years of experience developing flows and methodologies for package design used by engineering teams at scale.
- Strong programming fundamentals in Python and/or C++; proficiency with data structures, algorithms, and object-oriented design.
- Experience applying AI/ML techniques in engineering workflows (for example, LLM-assisted code generation/debugging or ML-assisted design analysis).
- Solid understanding of electrical engineering topics relevant to VLSI package design such as signal integrity, power delivery, and parasitic extraction.
Nice-to-have:
- Hands-on experience with interposer and IC physical design for packages.
- Proven expertise developing package design flows and methodologies.
Education Requirements
Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
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.
