Package Design Flow Engineer (AI/ML Tools, Equity)

NVIDIA

Austin (TX)

On-site

USD 136,000 - 264,500

Full time

14 days+

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Benefits offered by this job

Equity
Benefits package

Job summary

NVIDIA's Advanced Package Engineering team seeks a skilled engineer to design and implement VLSI tools for silicon and substrate design, collaborating with industry-leading engineers in a production environment.

You will develop applications and flows to enable project engineers, emphasizing maintainability and ease of use, while optimizing complex packaging workflows and validating designs across stages of production.

Qualifications

  • BS in Computer Science, Electrical Engineering, or related field with 5+ years building flows for package design at scale.
  • Strong Python and/or C++ fundamentals with data structures, algorithms, OO design and code quality practices.
  • Experience applying AI/ML techniques in engineering workflows, including AI-assisted design analysis or code generation.
  • Solid understanding of VLSI package design fundamentals such as signal integrity and power delivery.

Responsibilities

  • Design and implement VLSI tools for silicon and substrate design with world‑class engineers.
  • Develop applications to enable project engineers with maintainability and ease of use.
  • Create flows/tools to construct, analyze, and validate package designs at various production stages.
  • Optimize daily workflows of top package designers.

Skills

Python
C++
Data structures
Algorithms
OO design
Code quality
AI/ML workflows
VLSI fundamentals

Education

BS in Computer Science or Electrical Engineering

Job description

NVIDIA's Advanced Package Engineering team seeks a skilled engineer to design and implement VLSI tools for silicon and substrate design, collaborating with industry-leading engineers in a production environment.

You will develop applications and flows to enable project engineers, emphasizing maintainability and ease of use, while optimizing complex packaging workflows and validating designs across stages of production.

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