Foundational Multimodal AI Engineer for Analog IC Design

NXP Semiconductors NV

Eindhoven

On-site

EUR 90,000 - 120,000

Full time

7 days ago
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Job summary

NXP Semiconductors NV invites a CAD Methodology & Flow Engineer to join the Design Enablement global team. You will help establish efficient methodologies and tools across NXP design centers, and play a key role in integrating Generative AI into analog IC design workflows.

You will collaborate across international teams to enhance the internal chatbot platform, built with Streamlit and AWS Bedrock, and contribute to MLOps, vector databases, and semantic search for IC concepts.

Qualifications

  • MS/MSc degree in electrical engineering with software expertise and 5+ years of experience.
  • Hands-on experience with GNNs and open-source multi-modal foundational models.
  • Preferably analog IC design knowledge or affinity with analog design.

Responsibilities

  • Help establish methodologies and tools that support NXP design centers worldwide.
  • Shape the future of analog IC design through Generative AI integration.
  • Collaborate with international teams to enhance the internal chatbot platform (Streamlit, AWS Bedrock).
  • Work in a multicultural, global environment with NXP design organizations.
  • Join a worldwide team of experts recognized as leaders in this domain.

Skills

Python
PyTorch
TensorFlow
HuggingFace
CUDA
Linux
Bash
CMake
AWS Bedrock
AWS Lambda
Database knowledge
GNNs
Streamlit
Docker
Git
CI/CD
Robot Framework
Cadence SKILL
C/C++

Education

MS/MSc in Electrical Engineering with software expertise

Tools

Docker
Git
CI/CD tools
Robot Framework
Streamlit

Job description

NXP Semiconductors NV invites a CAD Methodology & Flow Engineer to join the Design Enablement global team. You will help establish efficient methodologies and tools across NXP design centers, and play a key role in integrating Generative AI into analog IC design workflows.

You will collaborate across international teams to enhance the internal chatbot platform, built with Streamlit and AWS Bedrock, and contribute to MLOps, vector databases, and semantic search for IC concepts.

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