Job Description
Job Summary
We are seeking a motivated Research Engineer to join the IPV,MIV at ARTC. The successful candidate will contribute to the development of a synthetic data generation platform for industrial AI applications, supporting software development, synthetic data rendering and generation, and deployment activities. This role offers an excellent opportunity to work on cutting-edge technologies, including 3D computer graphics, digital twins, synthetic data, and generative AI.
Key Responsibilities
- Develop and enhance synthetic data generation tools for computer vision and industrial AI applications.
- Support software development, testing, integration, and production deployment activities.
- Build and optimize 3D data processing pipelines for CAD models, meshes, and point clouds in digital inspection scenarios.
- Execute rendering and data generation tasks using internal tools to produce AI-ready synthetic datasets.
- Develop Python-based tools and automation scripts for data generation, data processing, and AI workflows.
- Assist in training, evaluating, and deploying deep learning models for industrial inspection and defect detection.
- Collaborate with scientists and engineers to prototype, validate, and improve new algorithms.
- Prepare technical documentation, software user guides, and project reports.
Requirements
Essential Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline.
- Experience with 3D graphics, CAD processing tools and related libraries such as Blender, NVIDIA Omniverse, Open3D, CGAL, libigl, or similar frameworks.
- Proficiency in Python and experience with PyTorch.
- Experience with computer vision, machine learning, and deep learning techniques.
- Strong analytical and problem-solving skills.
- Good communication skills and the ability to work effectively in a team environment.
Preferred Qualifications
- Experience with generative AI models, including GANs and diffusion models.
- Knowledge of Neural Radiance Fields (NeRF), 3D scene reconstruction, or related 3D representation techniques.
- Experience with GPU programming or CUDA is an advantage.
- Familiarity with version control using Git, software engineering best practices, and Linux development environments.