The role focuses on building end-to-end GenAI systems that leverage structured and unstructured engineering data to streamline workflows
Job Summary
The role focuses on building end-to-end GenAI systems that leverage structured and unstructured engineering data to streamline workflows.
Candidates will develop AI agents capable of reasoning over engineering context to triage logs, summarize results, and propose fixes.
The position requires collaboration with cross-functional teams to understand data needs and integrate solutions into existing design automation tools.
Matching Summary
The role focuses on building end-to-end GenAI systems that leverage structured and unstructured engineering data to streamline workflows.
Salary
Base: $80,000 - $90,000 USD (hourly equivalent); Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Python programming experience
ETL and data wrangling skills
SQL and log data processing
PyTorch or TensorFlow frameworks
Bachelor's degree enrollment
Nice-to-have
Experience with AI agent frameworks
Knowledge of RAG and vector search
Understanding of prompt design
Strong analytical problem-solving
Collaborative team environment
Key Requirements
Currently pursuing Bachelor's degree in CS, EE, or Data Science
3+ months experience in data engineering concepts
3+ months experience with Python and ML frameworks
Eligible for required U.S. export authorizations
Work Rights
Must be eligible for required U.S. export authorizations