Shanghai · PhD or above · Full-time
AI + CAE Simulation Engineer
We are looking for PhD talent at the intersection of AI and engineering simulation to join the Shanghai R&D team and apply AI to CAE and vehicle development.
As vehicle programs move toward digital and intelligent methods, classical CAE is merging with machine learning and data-driven approaches. You will work on AI+CAE, physics AI, intelligent simulation and digital engineering, applying algorithms to real engineering problems so simulation is less compute-heavy and less manual.
The role suits researchers and engineers who want to combine AI, numerical methods and CAE to solve industrial problems.
Responsibilities
- Research, build and apply AI+CAE methods in vehicle development and engineering simulation.
- Apply machine learning, deep learning and data-driven methods to structural, crash, fluid and thermal problems.
- Build surrogate models from CAE data to cut the cost of high-fidelity runs.
- Explore PINNs, physics-informed ML, neural operators and scientific machine learning, and take them toward engineering use.
- Work on smarter CAE workflows: automated modeling, parameter studies, job setup, result review and design updates.
- Use large CAE datasets for prediction, optimization and inverse design.
- Explore generative AI, LLMs and agents for simulation assistants, engineering Q&A, workflow automation and decision support.
- Combine AI with high-fidelity crash CAE for fast prediction, intelligent optimization and design-space search.
- Integrate algorithms with CAE software so research becomes usable engineering tools.
- Work with CAE specialists, vehicle engineers and software teams so AI solves industrial problems, not only papers.
Requirements
- PhD or above in AI, computer science, machine learning, data science, mathematics, mechanics, mechanical/vehicle engineering, aerospace or a related field.
- Solid theory in ML, deep learning, numerical methods or engineering simulation.
- Python, plus PyTorch, TensorFlow or JAX.
- Familiarity with ML, deep learning, optimization and data-driven modeling.
- Deeper knowledge in at least one of CAE, FEA, CFD, structural mechanics or engineering optimization.
- Strong math: linear algebra, probability and statistics, numerical analysis, optimization.
- Able to frame problems, design algorithms and validate results independently.
- Able to follow English literature in AI, scientific computing and CAE.
Preferred
- Research in AI+CAE, scientific ML or physics AI
- PINNs or neural operators
- ML surrogates or reduced-order models
- CAE data analysis, prediction or optimization
- Crash safety, structural optimization, fluids or thermal management
- LLMs, generative AI, agents or multimodal AI
- Reinforcement learning, Bayesian optimization, topology or parameter optimization
- GPU, CUDA, parallel or HPC work
- C/C++ or CUDA
- Strong publications in AI, ML, computational mechanics, scientific computing or CAE
- Research or programs at overseas universities, labs or global OEMs
What we offer
Competitive pay
Market-level packages for PhD and senior AI+CAE talent, set by education, research, engineering experience and capability.
Long-term incentives
Bonuses and long-term plans for core technical people so they share in business growth.
Frontier work
AI+CAE, physics AI, intelligent simulation and digital engineering, with research taken into industrial use.
International programs
Work with leading OEMs and industrial customers, global AI/CAE experts, large simulation datasets and hard engineering problems.
Growth paths
AI expert, CAE expert, principal technical expert and technical management tracks.
Benefits
Social insurance and housing fund, extra benefits, paid leave, holiday benefits, annual bonus, and further incentives per company policy.
Who we hope to meet
We especially welcome people who train models and also understand the physics; who write algorithms in order to solve engineering problems; and who want to explore how AI can redefine CAE, not only follow current AI fashion.
If you want to combine AI, machine learning, numerical methods and simulation to build the next generation of intelligent CAE, we would like to hear from you.
How to apply
Send your CV to support@sim-data.cn. Put the role title in the subject line.