Perception Engineer

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.

Must Have

• 1+ years of professional experience in C++ and Python.

• Strong hands-on experience with OpenCV and implementation of image 

processing algorithms.

• Solid understanding of camera fundamentals, including camera calibration, 

intrinsic and extrinsic parameters, focal length, field of view (FOV), lens 

distortion, perspective projection, and image formation.

• Good familiarity with video streaming protocols, multimedia pipelines, and 

hardware/software encoders (RTSP, H264/H265, GStreamer, FFmpeg, etc.).

Key Responsibilities

• Design, develop, and implement multi-camera real-time streaming systems

on edge devices, supporting features such as object detection, multi-object 

tracking, classification, and scene understanding.

• Develop, optimize, and integrate perception pipelines using NVIDIA 

DeepStream SDK and GStreamer for high-performance, low-latency video 

analytics.

• Optimize computer vision and AI workloads for deployment on NVIDIA Jetson

and other edge computing platforms, considering power, memory, latency, and 

computational constraints.

• Integrate USB, CSI, and other cameras into production-grade applications.

• Collaborate closely with hardware, embedded, AI, and software engineering 

teams to deliver robust perception solutions.

• Debug and optimize camera interfaces, streaming pipelines, synchronization 

issues, and inference performance.

Skills & Requirements

• Bachelor's degree in Computer Science, Electrical Engineering, Robotics, 

Electronics, or a related field.

• 1–3 years of professional experience in the Computer Vision domain.

• Strong programming skills in C++ and Python.

• Hands-on experience with NVIDIA DeepStream SDK for building real-time 

streaming and video analytics applications.

• Demonstrable experience with GStreamer for multimedia pipeline development 

and debugging.

• Extensive experience with OpenCV and classical image processing techniques.

• Experience implementing object detection, multi-object tracking, and image 

classification pipelines.

• Good understanding of camera vision fundamentals, and respective 

algorithms.

• Familiarity with computer vision algorithms and their practical applications in 

real-time systems.

Bonus

• Experience with NVIDIA Jetson platforms (Nano, Xavier, Orin).

• Experience with ROS2 

• Experience with CUDA, TensorRT, or ONNX model deployment.

• Familiarity with Docker and edge AI deployment.

• Experience optimizing real-time video processing pipelines for performance and 

low latency.