Flag job

Report

GenAI Engineering Intern

Salary

₹0.3 - 0.5 LPA

Min Experience

0 years

Location

Cambridgeshire, England, United Kingdom

JobType

internship

About the role

Overview

Pragmatic Semiconductor is revolutionising semiconductor fabrication with ultra-low-cost, flexible integrated circuit (FlexIC) technology that makes it quick and easy to embed intelligence almost anywhere. With rapid cycle times that substantially accelerate time to market, our foundry provides high-volume fabrication at a fraction of the cost of silicon, and with significantly lower environmental impact. It's an exciting time to join us as we develop our next generation of products.


We are seeking a talented and motivated MSc/PhD student summer intern (3-4 months) who will work in an exciting project to leverage advanced generative artificial intelligence (GenAI) techniques including Large Language Models (LLMs) for interfacing with chip development/production and generating actionable insights. This position offers a unique opportunity to apply machine learning (ML) and data science skills in a semiconductor fab setting.


Key Tasks

  • Develop and optimize RAG pipelines – work to build ingestion routes for datasets generated from a chip product development/production environment including technical reports, logs etc.
  • Integrate vector databases – for efficient document searching, chunking and embedding retrieval by the model
  • Model Development and Fine-Tuning - utilize open-source GenAI tools to interface with the data related to chip development/production. Train, fine-tune, or adapt GenAI to extract meaningful inferences.
  • Collaborate with engineers and data scientists - to validate the AI-generated outputs, align ML solutions with chip development/production requirements and refine the LLMs for domain-specific tasks
  • Inference and Insights Generation - develop methodologies to extract insights about chip development/production, identify anomalies, and predict operational issues.
  • Benchmark performance - validate the model's outputs and ensure alignment with the goals.
  • Reporting & Documentation - document project progress and present findings to cross-functional teams and stakeholders.
  • Demonstration and dissemination – demonstrate the proof-of-concept GenAI model in a live demo setting and disseminate the internship results


Qualifications and training

  • A current MSc or PhD student in Computer Science, Electronics Engineering, Data Science, Machine Learning, or a related field


Essential Skills and experience

  • Strong programming skills in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or scikit-learn
  • Experience with data preprocessing and handling large datasets (e.g., using Pandas, NumPy)
  • Hands-on experience with LLMs or NLP frameworks
  • Familiarity with RAG pipelines, including vector embeddings and document retrieval techniques.


Desirable Skills and experience

  • Experience with vector databases


Pragmatic is committed to equity, equality, diversity, and inclusion; we strive to welcome everyone and create inclusive teams. We celebrate difference and encourage everyone to be themselves at work. Please let us know if you would like any adjustments to our application and interview process.

About the company

Pragmatic Semiconductor is revolutionising semiconductor fabrication with ultra-low-cost, flexible integrated circuit (FlexIC) technology that makes it quick and easy to embed intelligence almost anywhere. With rapid cycle times that substantially accelerate time to market, our foundry provides high-volume fabrication at a fraction of the cost of silicon, and with significantly lower environmental impact.

Skills

python
tensorflow
pytorch
scikit-learn
pandas
numpy
natural language processing