ANYbotics is seeking a talented Synthetic Visual Data Engineer to pioneer simulation and domain randomization techniques for generating high-fidelity synthetic data in autonomous robotics. This role will drive advancements in visual perception systems, enabling more robust and reliable AI models for real-world applications.

ANYbotics, a leader in autonomous robotics solutions for industrial inspections, is expanding its team with an innovative Synthetic Visual Data Engineer focused on simulation and domain randomization. In this pivotal role, you will design and implement advanced pipelines for creating synthetic visual data that bridges the gap between simulated and real-world environments, enhancing the performance of our AI-driven perception systems.

Your responsibilities will include developing simulation frameworks tailored to robotics applications, applying domain randomization to improve model generalization, and collaborating with cross-functional teams to integrate synthetic data into training workflows. You will contribute to cutting-edge research in visual data synthesis, ensuring our robots can operate reliably in diverse, unstructured settings like industrial plants and hazardous areas.

This position offers the chance to work on groundbreaking projects that push the boundaries of robotics autonomy, supported by a passionate team at the forefront of technology. If you are excited about leveraging simulation to solve real-world challenges, join us in shaping the future of industrial automation.

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
• Proven experience with simulation environments such as Gazebo, Unity, or Unreal Engine
• Strong proficiency in Python and C++ for developing data generation pipelines
• Expertise in domain randomization techniques and synthetic data generation for computer vision tasks
• Familiarity with machine learning frameworks like PyTorch or TensorFlow
• Knowledge of robotics perception, including cameras, LiDAR, and sensor fusion
• Excellent problem-solving skills and ability to work in a collaborative, fast-paced environment
• Experience with version control systems (e.g., Git) and agile development practices

• Competitive salary and performance-based bonuses
• Flexible remote work options with collaborative team support
• Opportunities for professional development and attendance at industry conferences
• Health insurance and wellness programs
• Generous vacation policy and work-life balance initiatives
• Access to state-of-the-art tools and resources in robotics research
• Collaborative international team environment with diverse projects