Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
Algorithms @ 5
Data Structures @ 5
Debugging @ 3
LLM
Machine Learning
Python @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
Interposers are one of the most technically demanding layers in advanced semiconductor packaging — a silicon bridge connecting multiple dies with thousands of micro-bumps, routing signals at densities that push the limits of current EDA. NVIDIA's interposer designs are among the most complex in the industry, and the team building automation infrastructure for them is a small group of high-impact engineers who define how that design process works.
This position requires you to build flows and methodologies that automates interposer design, validates design rules, and accelerates the workflows of the interposer designers who depend on them. You’ll work directly with interposer design engineers, package architects, and foundry partners to understand and solve the hardest problems and ship production-quality solutions that shape NVIDIA's next generation of multi-die platforms.
Responsibilities
- Work with world-class interposer engineers to design and develop VLSI flows and methodologies for interposer design.
- Develop applications to enable project engineers with an emphasis on maintainability and ease of use.
- Develop flows/tools and methodologies to construct, analyze, and validate interposer designs at many different stages in the production flow.
- Optimize the daily workflows of the world's top interposer designers.
Requirements
- BS in Computer Science, Electrical Engineering, or a related field (or equivalent experience), and 5+ years of flow and methodology development experience building flows for interposer design used by engineering teams at scale.
- Good programming fundamentals in Python and/or C++, including proficiency with data structures, algorithms, object-oriented design, and code quality practices.
- Demonstrated experience applying AI/ML techniques in engineering workflows — this could include using LLMs for code generation and debugging, building ML-assisted design analysis tools, or integrating AI-assisted flows into EDA environments.
- Strong understanding of electrical engineering fundamentals relevant to VLSI interposer design (signal integrity, power delivery, parasitic extraction, or equivalent).
Benefits
- Eligible for equity and benefits (NVIDIA benefits listed at www.nvidiabenefits.com/).