As our Computer Vision Engineer , you will build classical vision pipelines, deep learning architectures, and foundation model adaptations for detection, segmentation, tracking, and 3D perception. You will optimize models for embedded and edge platforms, work with large datasets, and collaborate across robotics and system architecture teams to bring robust perception systems from prototype to field deployment.

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

Computer Vision Engineer

Job Description

No Referrers Available