Senior Perception Engineer – 3D Computer Vision & Sensor Fusion (human) at Neura Robotics (Metzingen, Germany / Riederich, Germany)
Neura Robotics· Metzingen, Germany / Riederich, Germany·
Role details
Work type
Onsite
Employment
Full-Time
Level
Senior
Neura Robotics at a glance
German cognitive-robotics company building humanoid and collaborative robots that see, hear, feel, and learn to work alongside people.
NEURA Robotics designs cognitive robots (humanoids, collaborative arms, and mobile bases) plus the AI and platform that run them, all built in-house. Its flagship 4NE1 humanoid targets industrial workflows and everyday assistance, and the Neuraverse platform links deployed robots into a shared learning network.
~$1.7B+ raised · latest: Series C · up to $1.4B · June 2026 · backed by Tether, Amazon, NVIDIA, Qualcomm
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.
Why work at Neura Robotics
- Culture: "Passion for Winning" — achievement-driven, self-responsible culture with flat hierarchies. Values include trust, honesty, speed, and "We Are Human" (people at the heart of everything).
- Flexibility: Flexible working hours, 30 days of vacation, and a hybrid-friendly environment.
- Team: Over 1,400 employees from more than 45 countries — highly skilled, international team of experts.
- Growth & Development: Support for personal and professional growth via Udemy training platform and more.
- Compensation: Competitive salary package with exclusive employee discounts.
- Perks: Summer parties, company town hall meetings, and regular team celebrations.
- Impact: Opportunity to work on cutting-edge cognitive robotics and AI that directly addresses labor shortages and makes a meaningful societal impact.
- Diversity: Explicitly welcomes applications from all backgrounds, emphasizing building a team that reflects the world.
- Application Process: Fast — initial feedback within a few days, interviews scheduled within two weeks.