This role involves partnering with functional validation engineers to accelerate pre and post silicon validation through data-driven methods
Job Summary
This role involves partnering with functional validation engineers to accelerate pre and post silicon validation through data-driven methods.
The successful candidate will lead AI/ML strategy by defining technical direction and architecting end-to-end AI systems including data pipelines and MLOps governance.
You will apply advanced AI models such as transformers for time series logs and LLMs for automating triage and summarizing complex logs.
Matching Summary
This role involves partnering with functional validation engineers to accelerate pre and post silicon validation through data-driven methods.
Skills & Requirements
Must-have
Python and ML frameworks proficiency
Production grade ML system design
Time series analysis and statistics
CI/CD and software engineering practices
Cross-team technical alignment
Nice-to-have
Pre and post silicon validation experience
Transformer-based model expertise
LLM fine tuning and RAG pipelines
Distributed compute with Spark
Anomaly detection and root cause modeling
Key Requirements
Degree in Data Science or related field
Minimum 3 years of Data Science or AI coding experience
Master's or PhD in Computer Science or Engineering