Package Design Methodology Engineer
NVIDIA· Engineer, Phys Design
Hybrid (Santa Clara, CA), Hybrid (Austin, TX), Remote$136k - $218.5kFull-timePosted 2mo ago
About the role
NVIDIA Advanced Package Engineering role focused on designing production-grade EDA tooling for multi-die packaging, applying AI/ML techniques to engineering workflows, and developing flows for silicon and substrate design at scale.
Responsibilities
- Work with world-class engineers to design and implement VLSI tools for silicon and substrate 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 package designs at many different stages in the production flow.
- Optimize the daily workflows of the world's top package designers.
Qualifications
- 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 package 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 package design (signal integrity, power delivery, parasitic extraction, or equivalent).
Skills
Required:PythonC++AI/ML in engineering workflows
Benefits
- equity and benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.
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