Senior SDE: Neural Graph Infrastructure at Scale

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 311,000

Full time

5 days ago
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Job summary

NVIDIA is seeking an experienced software engineer to join the CAD Infrastructure team in Santa Clara, CA. You will architect highly automated flows and contribute across architecture, design, and implementation for a next-generation semiconductor design platform.

You will implement event-driven data preprocessing pipelines, develop C++ and Python tools tailored to complex engineering workflows, and collaborate with VLSI teams to anticipate future challenges.

Qualifications

  • 8+ years of relevant software engineering experience.
  • BS or MS in Computer Science or Computer Engineering, or equivalent experience.
  • Practical experience in C++ and Python programming.
  • Strong foundations in software building, algorithms, and data structures.
  • Proficiency in software architecture: you've built systems, not just contributed to them.
  • Strong communication skills and comfort working across fields during an evolving development cycle.

Responsibilities

  • Architecting highly automated and customizable flows using modular builds and object-oriented techniques.
  • Collaborating with architects and designers during active spec development to identify integration gaps and keep workstreams aligned.
  • Building event-driven data preprocessing pipelines for large-scale graph data.
  • Developing tools and user interfaces in C++ and Python tailored for complex engineering workflows.
  • Engaging cross-functionally with VLSI organizations to anticipate future challenges and build solutions.

Skills

C++
Python
Algorithms
Data structures
Software architecture
Communication

Education

BS or MS in CS/CE

Job description

NVIDIA is seeking an experienced software engineer to join the CAD Infrastructure team in Santa Clara, CA. You will architect highly automated flows and contribute across architecture, design, and implementation for a next-generation semiconductor design platform.

You will implement event-driven data preprocessing pipelines, develop C++ and Python tools tailored to complex engineering workflows, and collaborate with VLSI teams to anticipate future challenges.

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