Senior Perception Engineer – 3D Computer Vision & Sensor Fusion (human)

Neura Robotics; Gemeindeverwaltungsverband Metzingen, Riederich; On-site; EUR 90,000 - 130,000; Full time

Job summary

Neura Robotics is seeking an experienced Perception Engineer to shape the technical direction of its classical perception stack. You will design perception pipelines from camera, depth and LiDAR data to a usable world model, and develop robust estimation and fusion methods.

You will ensure real-time performance on embedded hardware and mentor colleagues. Ideal candidates have 5+ years of hands-on experience building model-based perception software, strong 3D geometry and calibration knowledge,

Qualifications

• Master’s degree or PhD in computer science, robotics, electrical engineering, mathematics, physics or related field.
• 5+ years of hands-on experience building classical, model-based perception software for robots or real-time systems.
• Deep knowledge of 3D geometry and camera models with calibration.
• Strong background in estimation and optimization (e.g., Kalman filtering, RANSAC, nonlinear least squares).
• Solid understanding of sensor physics and error sources in cameras, depth sensors, and LiDAR.

Responsibilities

• Shape the technical direction of classical perception and drive architecture decisions.
• Design and implement perception pipelines for camera, depth and LiDAR data from raw input to world model.
• Develop geometric vision and point cloud processing algorithms (stereo, registration, model-based pose estimation).
• Own sensor calibration, time synchronization and multi-sensor fusion.
• Develop state estimation and tracking using filtering and optimization methods.
• Ensure real-time performance on embedded hardware and robustness in real-world conditions.
• Set up evaluation, benchmarks and ground truth to drive measurable improvements.
• Provide geometric foundation for AI teams and mentor colleagues.

Skills

C++

Python

Linux

OpenCV

PCL

Eigen

ROS 2

3D geometry

Kalman filtering

RANSAC

Nonlinear least squares

Sensor fusion

Embedded platforms

Education

Master’s or PhD in CS/Robotics/EE/Math/Physics

Tools

OpenCV

PCL

Eigen

ROS 2

Job description

Your mission & challenges

• Technical direction: You shape the technical direction of our classical perception stack. You define algorithms, architecture and best practices, and drive them into the product.

• Perception pipelines: You design and implement perception pipelines for camera, depth and LiDAR data, from raw sensor input to a usable world model.

• Geometric vision & point clouds: You develop geometric vision and point cloud processing algorithms, such as stereo matching, registration and model-based pose estimation.

• Calibration & fusion: You own sensor calibration, time synchronization and multi-sensor fusion.

• State estimation: You develop state estimation and tracking based on filtering and optimization methods.

• Real-time performance: You make sure pipelines run in real time on embedded hardware and stay robust under real-world conditions.

• Evaluation & benchmarks: You set up evaluation, benchmarks and ground truth, and drive measurable improvements in precision and robustness.

• Geometric foundation: You provide the geometric foundation (calibration, 3D data, poses) that the AI team builds on.

• Expert & mentor: You act as the go-to expert for classical perception and mentor your colleagues.

What we can look forward to

• Education: A Master’s degree or PhD in computer science, robotics, electrical engineering, mathematics, physics or a related field.

• Experience: 5+ years of hands‑on experience building classical, model-based perception software for robots, machine vision or comparable real-time systems.

• 3D geometry: Deep knowledge of 3D geometry, camera models and calibration.

• Estimation & optimization: A strong background in estimation and optimization, e.g. Kalman filtering, RANSAC or nonlinear least squares.

• Sensor physics: A solid understanding of sensor physics and the error sources of cameras, depth sensors and LiDAR.

• Track record: Experience shaping technical concepts and taking them to production.

• Programming: Excellent modern C++ and good Python skills on Linux.

• Libraries & frameworks: Experience with libraries such as OpenCV, PCL or Eigen, and with ROS 2.

• Nice to have: Experience with GPU acceleration or embedded platforms.

• Languages: Professional English is required. German at B2 to C1 level is a plus.