At Neuralzome, we're pushing the boundaries of robotics by combining cutting-edge perception systems and AI-driven autonomy — and we’re looking for passionate interns to join our journey.

Key Responsibilities:

• Work with sensors like monocular cameras, stereo cameras, depth cameras, and LiDARs.
• Perform camera calibration, multi-view geometry, and photogrammetry for precise sensor alignment.
• Develop and optimize visual odometry and SLAM systems.
• Apply Extended Kalman Filters (EKF), Particle Filters, and other state estimation methods.
• Design and train neural networks from scratch; fine-tune pre-trained models for robotic tasks.
• Build large datasets — from annotation to preprocessing — and maintain efficient data pipelines.
• Apply supervised learning, self-supervised learning, and reinforcement learning to real-world robotics challenges.
• Integrate AI models into robotic systems for field deployment and testing.
• Write high-performance code in C, C++, and Python.
• Utilize modern tools like GitHub, Docker, and CI/CD pipelines for efficient development.

Qualifications and Skills:

• Bachelor’s or Master’s in Robotics, Computer Science, Electrical Engineering, or related fields.
• Strong portfolio of projects in robotics perception and AI.
• Deep understanding of sensor principles and calibration workflows.
• Hands-on experience with visual odometry, SLAM, and ML algorithms.
• Comfortable working with large datasets and building scalable pipelines.
• Familiarity with Git, Docker, and collaborative software practices.
• Excellent problem-solving ability and a collaborative, learning-first mindset.

If you're passionate about robotics perception, sensor fusion, deep learning, and building real-world intelligent systems, we’d love to hear from you!