Computer Vision Engineer

Responsibilities

• Develop computer vision pipelines using image processing, feature extraction, and classical CV methods
• Build deep learning models for detection, segmentation, tracking, and 3D perception using CNNs, Transformers, and architectures such as YOLO, Faster RCNN, Mask RCNN, UNet, and DeepLab
• Fine-tune and adapt foundation models such as SAM, CLIP, and DINO
• Optimize model performance for embedded and edge compute platforms
• Design and manage datasets including cleaning, augmentation, and annotation using CVAT or Label Studio
• Run evaluation, profiling, and failure analysis on deployed models
• Collaborate with robotics and embedded teams to integrate perception outputs into navigation, control, and planning
• Maintain documentation, experiment logs, and deployment specifications

Minimum Qualifications

• Strong foundation in classical computer vision, geometry, and camera calibration
• Proficiency in PyTorch or TensorFlow
• Experience with YOLO, RCNN family models, UNet, or DeepLab
• Proficiency in Python and core libraries such as OpenCV, NumPy, SciPy, TorchVision, and Albumentations
• Strong math foundations including linear algebra, calculus, and probability
• Hands-on experience with dataset creation and annotation
• Ability to write clean and modular code and work collaboratively

Bonus Qualifications

• Experience with 3D vision, stereo, SLAM, or reconstruction
• Familiarity with self-supervised or vision-language models
• Experience using TensorRT, ONNX Runtime, or similar tools
• C++ proficiency for performance-critical CV modules
• Robotics experience integrating perception pipelines

Why Build With Us

• Collaborate directly with IIT/IISc founders in a high-density engineering environment
• Develop dual-use technology for national defense (GPS-denied navigation) and industrial automation
• Solve complex "zero-to-one" problems in Physical AI and autonomous systems
• Receive substantial ESOPs and influence as a core team member
• Access competitive compensation, paid time off, and a growth-focused culture