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

Neura Robotics

1h 46m ago

On-site

Full Time

Germany

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.

Required Skills

c++pythonopencv

Required Languages

🇬🇧 English

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.