ZOID is a deep-tech R&D; startup working on advanced technologies for the defence and aerospace sector. We build customised solutions for the Indian Military and UAV manufacturers, with our strength being hands-on expertise in AI, electronics, UAVs and robotics.
Current Projects Include
• AI-based FOD detection software for naval air stations
• Reusable Off-board Missile Decoy for anti-ship missile defence
• GNSS-Denied Navigation Suite
• Aerial Intelligent Mapping Suite
• Vision-based Kinetic Strike Solution
• Swarming Solutions
Role Brief
We are looking for an Robotics AI Engineer to handle AI data operations through field data collection, image annotation, dataset QC, and test-set analysis for UAV/defence applications. The role involves working with field teams during runway/track tests and maintaining accurate, traceable datasets and test logs.
Key Responsibilities
• Own the optics testing end to end (FOV, focal length and depth-of-field calculations)
for detecting 3 x 3 x 3 mm objects.
• Plan and conduct optics testing including camera & lens settings (focus, motion-blur budget, exposure, gain, FPS, binning, etc).
• Build and manage the dataset, annotation and QA/QC rules, data versioning, and backup (Raid Configuration).
• Analyse the type of datasets which should be collected for any specific task.
• Develop the detection & classification model for millimetre-scale objects at high resolution.
• Optimise models for real-time inference on the GPU servers such that multiple cameras can simultaneously operate on a single GPU without any accuracy loss.
• Implement object localisation and geo-referencing of detections using RTK/GNSS and frame timestamps and validate CEP in the field.
• Maintain a model registry with regression tests so no release degrades detection performance; run the false-positive review loop with operations staff.
• Analyse why false positive