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.