Type: Full-Time

Location: Onsite (Bangalore)

Role Summary

We are looking for a highly capable Perception Engineer to build robust perception systems for outdoor robotics. This role focuses on developing vision models, data pipelines, and inference systems for challenging real-world environments, with strong emphasis on accuracy, edge-case handling, maintainability, and deployment readiness. The ideal candidate should combine strong fundamentals with applied vision engineering expertise across image processing, deep learning, data-centric model development, failure analysis, and deployment optimization. We are looking for someone who can understand complex problems deeply, define explicit evaluation standards, and build reliable perception pipelines for real-world operation.

Key Responsibilities

Design and develop perception pipelines for real-world environments using computer vision, deep learning, and geometric reasoning.
Build and improve models for scene understanding, recognition, segmentation, tracking, and spatial perception using up-to-date deep learning architectures.




Develop perception systems for monocular scene understanding and depth-related tasks where explicit depth sensing may not be available.
Develop and evaluate online CNN models for human detection, tracking, and path prediction under occlusion for safe robotic operation.
Translate use cases into measurable ML objectives, success metrics, and acceptance criteria such as mIoU, mAP, precision/recall, latency, FPS, and failure-case coverage.
Own the data pipeline end to end: data collection planning, annotation workflow definition, dataset curation, pre-processing, augmentation, label quality checks, and post-processing.
Work with annotation teams and tools such as CVAT to create high-quality datasets, including pixel-wise annotations, taxonomy definition, and edge-case labeling.
Fine-tune and adapt up-to-date foundation models such as SAM, DINOv2, and evaluate when they are useful versus custom task-speci

📌 Perception Engineer Ajmer (India)
🏢 Eklavya
📍 India