ASIC Gen-AI Data Scientist
About The Position
As part of the ASIC Technical Products Engineering organization, you will help drive the development of next-generation GenAI, machine learning, and advanced data analytics solutions for semiconductor engineering. In this role, you will work on intelligent systems that improve engineering productivity, strengthen technical decision-making, and unlock insights from complex ASIC pre and post silicon engineering workflows. You will collaborate with cross-functional teams across System Architecture, Logic Design, Analog/Mixed-Signal Design, Data Science and IT to prototype, build, and scale practical AI-driven solutions that improve quality, cost, cycle time, and engineering efficiency.
Requirements
- Bachelor's with 10+ years or Master’s degree with 8+ in Electrical Engineering, Computer Science, Data Science, Statistics, Artificial Intelligence, or a related field
- Minimum 4 years of hands-on experience developing and deploying AI applications in semiconductors, electronics, or other engineering industries.
- Strong programming proficiency in Python.
- Familiarity with modern AI coding tools / agentic coding harnesses, such as Claude Code, Cursor, Gemini CLI, or similar tools.
- Practical experience in developing and implementing AI/ML systems involving LLMs, including RAG, agentic workflows, and frameworks.
Nice To Haves
- Experience building agentic systems or AI solutions for ASIC semiconductor pre-silicon and post-silicon workflows.
- Deep understanding of semiconductor-specific AI/ML applications
- Cloud experience with GCP, AWS, or Azure, including deploying ML pipelines in production.
- Experience with LLM training, inference, and evaluation workflows, including prompt design, benchmarking, validation, or retrieval-augmented systems.
- Experience with data analytics and visualization to deliver actionable engineering insights using tools and libraries such as pandas, scikit-learn, matplotlib, plotly, or similar ecosystems.
- Experience with web application technologies such as JavaScript, HTML, and CSS.
- Experience designing scalable, enterprise-grade AI/ML systems with attention to reliability, traceability, and operational readiness.
- Familiarity with document-processing pipelines, technical knowledge platforms, or retrieval systems for engineering content.
- Experience working in multi-functional environments spanning systems architecture, engineering, data science, and IT.
Responsibilities
- Design, build, and improve GenAI-powered and agentic systems supporting ASIC semiconductor engineering workflows such as code generation, data extraction, analytics, documentation automation, failure triage, root cause analysis, and technical knowledge retrieval.
- Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation.
- Develop and implement machine learning and deep learning models for classification, regression, anomaly detection, failure analysis, and engineering decision support.
- Partner with domain experts and cross-functional teams to translate complex engineering problems into scalable AI/ML and analytics solutions.
- Support deployment, monitoring, and operationalization of AI/ML solutions in cloud and enterprise environments.
- Communicate technical findings, recommendations, and model outcomes clearly to both technical and non-technical stakeholders.
- Identify and drive high-impact opportunities where GenAI, machine learning, and analytics can improve engineering productivity and business outcomes!
Benefits
- Choice of medical, dental and vision plans
- Benefit programs that help protect your income if you are unable to work due to illness or injury
- Paid family leave
- Robust paid time-off program
- Paid holidays
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
