Location : Bengaluru
About Us
At Paar Autonomy, we are building the next generation of agentic autonomy for mobile robots.
Our mission is to develop breakthrough hardware and software that radically enhance the capabilities of drones and rovers in critical sectors such as defence and infrastructure.
We’re assembling an exceptional team of engineers, scientists, and domain experts who are passionate about shaping the future of intelligent robotics.
If you:
Thrive in a fast-paced, deeply technical environment.
Value autonomy, ownership, and the freedom to build without bureaucracy.
Seek daily challenges that push your boundaries and fuel your growth.
Then Paar Autonomy is your canvas — a place to create, innovate, and leave your mark.
Key Responsibilities
Design, develop, and implement perception algorithms for various applications, including object detection, tracking, classification, and scene understanding.
Image Processing: Noise reduction, feature extraction, image segmentation, image enhancement, color space manipulation, geometric transformations.
Video Stabilization: Real-time video stabilization techniques for noisy or shaky camera inputs.
Motion Estimation: Developing techniques to estimate the motion of objects or the camera.
Develop and integrate perception pipelines using NVIDIA DeepStream and GStreamer for high-performance, real-time processing.
Optimize perception algorithms for deployment on edge computing platforms such as Jetson, considering constraints such as power, memory, and computational resources.
Collaborate closely with hardware engineers, and software engineers to integrate perception solutions into larger systems.
Stay up-to-date with the latest advancements in computer vision, deep learning, and robotics perception.
Skills and Requirements
Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
Approximately 1.5-2.5 years of professional experience in perception engineering or a related domain.
Strong proficiency in C++ and Python.
Hands-on experience with NVIDIA DeepStream SDK for building real time streaming applications.
Demonstrable experience with GStreamer for multimedia pipeline development.
Extensive experience with image processing techniques (e.g., OpenCV).
Strong understanding and practical application of video stabilization algorithms.
Experience with object detection, tracking, and classification.
Familiarity with various computer vision algorithms and their applications.
Experience in solving AI-related problems, particularly in the context of computer vision and real-time inference.
Practical experience in optimizing and deploying models on edge computing devices.
