Data Scientist 3
Core
Design, develop, and deploy end-to-end AI/ML and Generative AI solutions to support critical business needs and drive innovation in semiconductor sustainability and ESG practices.
Role type
Senior IC machine learning engineer (scientific computing & GenAI)
Builds
Scalable AI/ML architectures, production-grade models, and simulation-driven AI applications
Domain
Semiconductors, Scientific Machine Learning (SciML), Digital Twins
Deliverable
production ML models
Required skills
Python, PyTorch, MLOps, cloud platforms (Azure/AWS/GCP), big-data technologies (Hadoop/Spark), scientific computing, surrogate modeling, physics-informed AI
Preferred skills
GenAI architecture design, advanced statistical modeling, Neural Operators, PINNs, DeepONet, FNO, MeshGraphNets, NVIDIA Modulus, PhysicsNeMo
Technologies
Azure, AWS, GCP, Hadoop, Spark, PyTorch, PyTorch Geometric, PINNs, DeepONet, FNO, MeshGraphNets, NVIDIA Modulus, PhysicsNeMo
Responsibilities
Design and deploy end-to-end AI/ML and Generative AI solutions; Build scalable machine learning architectures and evaluate modern tools; Develop production-ready models on cloud environments; Partner with stakeholders to translate business problems; Lead technical design discussions and guide teams; Establish monitoring and governance mechanisms; Deliver rapid POCs and extract insights from complex datasets
Seniority
Senior, hands-on IC
