Robotics Perception Engineer

Intuitive Research and Development Pvt Ltd (IRDPL)

Pune City, Maharashtra, IndiaFresher11m agovia LinkedIn

Posted 15 Nov 2026, 22:44 IST

This job at a glance

Who can apply
Freshers and up to 1 year · B.Tech / B.E. or M.Tech
Must know
Computer visionData structures & algorithmsPythonC++NumPyMachine learning
Work
On-site in Pune City
Pay
Not stated by the employer.
Skill demand
Python61%Data structures & algorithms20%C++17%Computer vision8%of 99 similar fresher jobs posted in India this week
Listed
15 Nov 2026 · still open

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Company: Intuitive Research and Development Pvt Ltd (IRDPL)

Location: Pune, Maharashtra

About the Role

We are looking for talented engineers and fresh graduates interested in developing advanced perception systems for autonomous robots and intelligent robotic platforms. The role is exclusively focused on Perception Engineering, Computer Vision, 3D Perception, and Multi-Sensor Fusion.

Key Responsibilities

  • Develop real-time 2D and 3D perception systems.
  • Work with LiDAR, RGB, Stereo, RGB-D, and Depth Cameras.
  • Develop LiDAR-camera fusion and multi-sensor perception pipelines.
  • Implement 2D/3D object detection, classification, segmentation, and tracking.
  • Work on point cloud processing and 3D scene reconstruction.
  • Develop depth estimation and spatial understanding algorithms.
  • Perform camera calibration, LiDAR calibration, and sensor synchronization.
  • Work on image processing, feature extraction, and geometric analysis.
  • Develop surface detection, object localization, and scene understanding.
  • Handle sensor noise, uncertainty, measurement accuracy, and environmental variations.
  • Optimize perception pipelines for real-time processing.

Requirements & Tech Stack

  • Strong programming knowledge in Python and C++.
  • Good understanding of Computer Vision and 3D Geometry.
  • Understanding of camera optics, image formation, and projection models.
  • Knowledge of LiDAR working principles, depth sensing, and point clouds.
  • Understanding of sensor physics, measurement principles, and noise characteristics.
  • Knowledge of multi-sensor fusion and probabilistic estimation.
  • Familiarity with OpenCV, Open3D, PCL, and NumPy.
  • Understanding of coordinate transformations and 3D spatial mathematics.

Good to Have

  • Knowledge of YOLO, CNNs, Vision Transformers, and segmentation models.
  • Experience with PointNet, PointPillars, and BEV-based perception.
  • Understanding of Kalman Filters, EKF, and Bayesian estimation.
  • Familiarity with camera-LiDAR fusion architectures.
  • Knowledge of stereo vision, visual depth estimation, and optical flow.
  • Experience with CUDA, NVIDIA Jetson, and GPU acceleration.
  • Familiarity with ROS 2 for sensor data integration.

What You'll Work On

  • LiDAR-based and vision-based perception.
  • 2D and 3D object detection and recognition.
  • Multi-sensor fusion and environmental understanding.
  • 3D point cloud processing and reconstruction.
  • Real-time perception for autonomous robotic systems.
  • Advanced perception research for Physical AI.

Qualifications

  • B.E./B.Tech/M.Tech students, fresh graduates, or experienced candidates in Robotics, Electronics, Computer Science, AI/ML, or related disciplines.
  • Strong fundamentals in mathematics, physics, and computer vision.
  • Academic projects, research work, or practical perception implementations are preferred.
  • Strong analytical and problem-solving skills.
  • Candidates should understand the physics behind perception sensors, be able to work with raw sensor data, and be interested in developing perception algorithms from the fundamentals.
  • Professional experience is not mandatory for intern positions.

Interested candidates can share their updated resumes, GitHub profiles, and details of relevant projects to [email protected].

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