About the Company
A next-gen AI-driven semiconductor technology company redefining how integrated circuits are designed and validated. Powered by a GenAI-based Circuit Assistant, the platform acts as an intelligent copilot—accelerating IC development, reducing design errors, and automating end-to-end design reviews. Built for scale, precision, and speed, the company blends deep research with real-world production impact in a fast-moving, innovation-first environment.
Role Overview
This role is for a hands-on Artificial Intelligence Engineer building production-grade AI systems from scratch at the intersection of deep learning, graph intelligence, and large language models. You’ll work on cutting-edge problems in semiconductor design—not standard ML pipelines-owning core AI systems that directly impact engineering workflows.
This is a build, not maintain role.
What You’ll Do
Build and train deep learning models across graph, text, image, and time-series data
Design and scale Graph Neural Networks (GNNs) for complex structured domains
Develop LLM-powered agentic workflows to automate engineering and design tasks
Create high-quality datasets from papers, books, diagrams, and technical docs
Construct knowledge graphs for reasoning, retrieval, and intelligence
Apply data augmentation and synthetic data generation techniques
Design LLM evaluation frameworks for reliability and performance
Deploy LLMs in secure, on-prem environments optimized for speed and scale
What You Bring
Strong foundation in deep learning theory and practice
Hands-on experience with Python, PyTorch, and/or TensorFlow
Practical experience with Graph Neural Networks
Exposure to LLMs: prompt engineering, fine-tuning, agentic workflows
2+ years of applied AI/ML experience
Background in Computer Science, Mathematics, Electronics, or related fields
Nice to Have
Experience with NLP, RAG, and knowledge graph systems
Comfort handling large-scale unstructured technical data
Interest in ML systems design and end-to-end deployment
Why This Role?
You’ll help build a GenAI-powered circuit intelligence platform that reshapes semiconductor design—working on real, complex problems with high ownership, deep tech, and visible impact.