Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Python (Programming Language) Machine Learning Tensorflow Surrogate Models Information Technology Engineering Base Data Generation

Job description

• Build and scale automated workflows for electrical, thermal, and electromagnetic simulations.
• Develop surrogate models that approximate physics simulations with faster inference.
• Create training datasets from simulations and hardware measurements.
• Incorporate physical constraints and engineering knowledge into model architectures, training, and evaluation.
• Validate model predictions against established solvers and experimental results.
• Develop active learning and optimization workflows to identify promising designs and prioritize simulations.
• Own reproducible pipelines for data generation, model training, evaluation, and deployment.

Requirements

• Strong Python skills and experience with PyTorch, JAX, or similar ML frameworks.
• Experience developing and evaluating machine learning models for scientific or engineering applications.
• Working knowledge of numerical methods and physics-based modeling.
• Experience automating simulation tools or computational solvers.
• Ability to build reliable software pipelines and work with large engineering datasets.
• Degree in physics, applied mathematics, computer science, electrical engineering, or a related field, or equivalent experience.
• Preferred: PhD with experience in simulations, surrogate models, neural operators, or physics-informed machine learning.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs

Prepare application

• Draft this with your agent
• Open in Claude
• Open in ChatGPT
• Copy prompt