Origin Exterminators is Hiring | Perception Engineer

Frequent Jobs; Bengaluru; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Origin Exterminators is hiring for a Perception Engineer in Bengaluru. Fresh graduates with 0–3 years of experience are eligible. You will develop 3D perception components using depth sensors, LiDAR, and RGB cameras, and build ROS 2 nodes for environment modeling and planning.

Responsibilities include training deep learning models with PyTorch or TensorFlow, implementing sensor fusion, and deploying on edge platforms like NVIDIA Jetson with TensorRT/ONNX. Bachelor’s or Master’s degree required.

Qualifications

• Bachelor’s or Master’s Degree in Computer Science, IT, or a related field.
• 0–3 years of experience; freshers are welcome.
• Proficient in Python 3.x and C++17/20; CI/CD familiarity.
• Experience with ROS 2 (rclcpp/rclpy) and DL frameworks (PyTorch/TF).

Responsibilities

• Develop and deploy 3D perception components for geometry scene understanding using depth sensors, LiDAR, and RGB cameras.
• Build ROS 2 nodes to process spatial data for environment modeling and task planning.
• Train and integrate deep learning models for 3D semantic understanding and segmentation.
• Design sensor fusion strategies for scene reconstruction and robot localization.
• Benchmark and optimize perception models for edge devices (Jetson) using TensorRT/ONNX.

Skills

Python 3.x

C++17/20

Git & CI workflows

Edge compute / NVIDIA Jetson

Education

Bachelor’s or Master’s Degree in CS/IT or related

Tools

ROS 2

PyTorch

TensorFlow

TensorRT

ONNX

Job description

Home » Origin Exterminators is Hiring | Perception Engineer

Origin Exterminators is Hiring | Perception Engineer

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Jobs

Origin Exterminators is Hiring for Perception Engineer Role. All the Candidates who completed Bachelor’s Degree are eligible. Interested Candidates can read the following Details and Apply for this role.

Job Description

• Company Name: Origin Exterminators
• Job Role: Perception Engineer
• Qualification: Bachelor’s or Master’s Degree
• Batch: 2023/2024/2025/2026
• Experience: Freshers (0-3 years)
• Salary: Upto 10 LPA (Expected)
• Last Date: As soon as possible.

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Job Role & Responsibilities

• Develop and deploy 3D perception components for geometric scene understanding using depth sensors, LiDAR, and RGB cameras.
• Build ROS 2 nodes that process and interpret spatial data (point clouds, depth maps, image streams) for environment modeling and task planning.
• Train and integrate deep-learning models for 3D semantic understanding, including surface analysis and object segmentation.
• Design robust sensor fusion strategies that combine visual, inertial, and spatial data for scene reconstruction and robot localization.
• Benchmark and optimize perception models for deployment on edge compute platforms (e.g., NVIDIA Jetson) using tools like TensorRT or ONNX.

Eligibility Criteria

• Experience: 0-3 years
• Degree: Bachelors Degree in Computer Science, Information Technology, or a similar field
• Skills: Proficient in Python 3.x and C++17/20; comfortable with git and CI workflows.
• Experience with ROS 2 (rclcpp / rclpy) and custom message / launch setups.
• Familiarity with deep-learning vision (PyTorch or TensorFlow) classification, detection or segmentation.

PREFERRED SKILLS

• Intellectually curious, eager to learn new things with an eye towards innovation
• Strategic, able to focus on business goals
• Excellent, at solving unstructured problems independently.
• Highly organized, able to prioritize multiple tasks.
• Strong, communicators able to build relationships with key stakeholder
• Problem Solving mindset.

ABOUT COMPANY

Artila Robotics, Inc is a technology company focused on robotics innovation and advanced automation solutions. The organization develops cutting-edge robotic systems designed to enhance efficiency and performance across industries. Its career opportunities emphasize engineering, product development, and technical expertise, reflecting its mission to drive progress in robotics and emerging technologies.