Semiconductor AI/ML and CFD Modeling Engineer

at  AsterTech

AsterTech is seeking a highly skilled AI/ML and Computational Fluid Dynamics (CFD) Modeling Engineer to contribute to an advanced semiconductor process optimization project. The role focuses on AI/ML model development, CFD simulations, and process automation for high-precision semiconductor manufacturing applications.
This is a part-time position with flexible hours, ideal for professionals looking to apply their expertise in AI/ML and CFD modeling to real-world challenges in semiconductor process optimization. Due to the nature of the work, only US Citizens or Green Card holders are eligible to apply.

QUALIFICATIONS

• Master’s or PhD in Computer Science, Mechanical Engineering, Electrical Engineering, Materials Science, or a related field.
• Strong expertise in AI/ML algorithms (e.g., Deep Learning, Reinforcement Learning, Optimization Algorithms).
• Proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
• Experience with CFD modeling and simulations for process engineering applications.
• Hands-on experience with semiconductor manufacturing process modeling.
• Strong analytical and problem-solving skills, with a focus on data-driven process optimization.
• Ability to work independently in a remote, flexible work environment.
• US Citizenship or Green Card required due to project requirements.

PREFERRED QUALIFICATIONS

• Experience with in-situ process monitoring, sensor data analysis, and automation for semiconductor manufacturing.
• Familiarity with digital twins, Bayesian Optimization, and real-time control systems.
• Prior work in semiconductor CVD processes, compound semiconductor growth, or related areas.
• Knowledge of high-performance computing (HPC) for AI/ML and CFD applications.
• Experience in developing high-level system architecture from technical narratives.

• Develop and implement AI/ML models (e.g., Neural Networks, Bayesian Optimization, Evolutionary Algorithms) for process parameter optimization.
• Perform Computational Fluid Dynamics (CFD) simulations (e.g., using Ansys FLUENT, COMSOL, STR Virtual Reactor) for semiconductor process modeling.
• Utilize data-driven modeling to optimize manufacturing processes and improve system efficiency.
• Design and validate predictive models using historical data, experimental results, and physics-based simulations.
• Integrate AI/ML-driven process control with real-time monitoring and feedback loops.
• Work with a cross-functional team of engineers, AI/ML specialists, and semiconductor processexperts.
• Analyze and interpret complex datasets to extract meaningful insights and optimization strategies.