AI-Enabled Device Modeling Engineer (AI)

Location: Malta, New York, USA. Travel up to 10%.

Expected salary: $69,000.00–$120,000.00 per year; exact salary depends on qualifications, experience, and location.

Company

hirify.global provides semiconductor foundry design, development, and fabrication services with a global manufacturing footprint.

What you will do

• Develop, optimize, and validate AI/ML methods for semiconductor device modeling, including parameter extraction, surrogate modeling, calibration, inverse modeling, and device-characteristic prediction.
• Build reproducible pipelines combining measured device data, compact-model simulations, TCAD results, and process or test metadata.
• Train and compare models using baselines, holdout datasets, error metrics, uncertainty analysis, and physics-based constraints.
• Automate model fitting, feature extraction, hyperparameter optimization, regression testing, visualization, and reporting with Python workflows.
• Collaborate with device physics, characterization, compact-modeling, PDK, EDA, and circuit-design teams to deliver usable modeling solutions.
• Lead proof-of-concept demonstrations and transition successful methods into maintainable workflows with testing, documentation, and stakeholder review.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Applied Physics, Physics, or a related field.
• Typically 3–5+ years of relevant experience in machine learning, scientific computing, semiconductor device modeling, computational physics, or a related field; final requirements follow GF Level 6 scoping guidelines.
• Strong Python skills and experience with scientific and machine-learning libraries such as NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow, or JAX.
• Understanding of supervised learning, regression, neural networks, model validation, overfitting, uncertainty, and quantitative performance evaluation.
• Working knowledge of semiconductor device physics and transistor electrical behavior, with the ability to apply AI methods to scientific or engineering modeling problems.
• Experience developing reproducible workflows for structured scientific or engineering datasets, including preparation, visualization, feature engineering, training, validation, and performance monitoring.
• Ability to execute technical assignments independently, communicate results clearly, and collaborate across AI, device, modeling, characterization, PDK, and design teams.
• Fluent written and verbal English; willingness to travel up to 10%.

Nice to have

• Industry, research, or advanced academic experience applying AI/ML to semiconductor devices, EDA, scientific machine learning, or computational physics.
• Experience with physics-informed neural networks, differentiable programming, Bayesian optimization, Gaussian processes, active learning, or uncertainty quantification.
• Exposure to compact transistor models, SPICE, parameter extraction, TCAD, cryogenic devices, photonic devices, superconducting devices, or quantum hardware.
• Experience with experiment tracking, version control, testing, or reproducibility tools such as Git, MLflow, Weights & Biases, containers, or automated workflows.
• Experience with Linux, high-performance computing, GPU acceleration, cloud computing, or large-scale simulation and training datasets.
• Ability to balance predictive performance with physical consistency, interpretability, robustness, and computational efficiency.
• Technical contributions through deployed software, patents, publications, conference presentations, open-source work, or interdisciplinary engineering projects.
• Project management, innovation, execution, ambiguity navigation, communication, planning, and organizational skills.

Culture & Benefits

• Cross-functional collaboration in a technology-development environment.
• Work must be performed safely and responsibly in accordance with Environmental, Health, Safety & Security requirements.
• Employment is full time with travel up to 10%.
• Employment is subject to applicable pre-employment conditions, laws, and regulations.
• Reasonable accommodations are available during the employment process upon request.
• hirify.global states its commitment to equal employment opportunity and workplace diversity.