Robot Perception Expert (human)

NEURA Robotics; Germany (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

NEURA Robotics seeks a seasoned Perception Engineer to join the AI/Perception team. You will design deep-learning perception models and build the full sensor fusion stack for humanoid and collaborative robots, integrating cameras, LiDAR, IMU and joint sensors.

You will deploy real-time perception software in C++ and Python, validate modules in simulation and on real robot platforms, and collaborate across hardware, control and planning teams while ensuring safety and robustness.

Qualifications

• Master's or PhD in Computer Science, Robotics, or related field required.
• 3+ years of experience building perception stacks for dynamic, human-centered environments.
• Strong programming in Python or modern C++ (CUDA a plus).
• Experience with PyTorch or TensorFlow for perception tasks in robotics; deployment on robotics hardware is a plus.
• Solid background in computer vision and sensor fusion (3D geometry, multi-view geometry, LiDAR/IMU fusion).
• Excellent English-language communication skills and ability to work in a team.

Responsibilities

• Architect and build the full perception pipeline from raw sensor input to world models.
• Research state-of-the-art in robot perception and bring results to the real robot.
• Design, train, and finetune neural networks; deploy on cloud and embedded hardware.
• Implement real-time perception software in C++ and Python; leverage CUDA when needed.
• Use ROS2 and DDS for high-throughput sensor pipelines; validate in simulation and on robots.
• Collaborate with hardware, control, planning and manipulation teams; develop diagnostics and provide documentation.

Skills

Python

C++

ROS2

DDS

PyTorch

TensorFlow

OpenCV

PCL

Sensor fusion

3D geometry

Multi-view geometry

CUDA

English

Education

Master's or PhD in Computer Science, Robotics, or related field

Tools

ROS2

DDS

CUDA

OpenCV

PCL

Gazebo/Isaac Sim

NVIDIA Jetson

Job description

Your mission & challenges

You’ll join the AI/Perception team to enable our robots to see, understand and interact with dynamic, human-occupied environments. You’ll be responsible for both designing deep-learning perception models and building the full sensor fusion and perception stack for humanoid and collaborative robots.

• Help us architect and build the full perception pipeline: from raw sensor input (cameras, LiDAR, IMU, force/torque, joint sensors) through sensor-fusion, object detection and tracking, 3D reconstruction, scene understanding, up to producing actionable world models and supplying necessary information to downstream modules (navigation, manipulation, interaction).

• Research the state-of-the-art in robot perception and deep learning and bring breaking results from academia to the real robot

• Design, train and finetune neural networks and deploy them both in the cloud and on embedded robotic hardware

• Implement real-time perception software in modern C++ and Python as needed; leveraging classical computer vision and GPU acceleration

• Use ROS2 and DDS frameworks for high data-throughput sensor pipelines, and validate modules both in simulation (e.g., Gazebo, Isaac Sim) and on real robot platforms, ensuring safety and robustness.

• Collaborate with hardware, control, planning and manipulation teams: define perception requirements, integrate sensor hardware, calibrate and optimize systems, develop diagnostics and performance tools, produce documentation and support CI/CD practices.

What we can look forward to

• Excellent Master's or PhD degree in computer science, robotics, or a related field

• 3+ years of relevant experience in building robust perception stacks for dynamic, human-centered environments

• Strong programming skills in Python or modern C++, experience with CUDA is a plus

• Practical experience with deep-learning frameworks (PyTorch, TensorFlow) applied to perception tasks in robotics; deployment on robotics hardware (e.g., NVIDIA Jetson) is a plus

• Solid background in computer vision and sensor fusion: 3D geometry, multi-view geometry, cameras/LiDAR/IMU fusion, point-cloud processing (PCL), and classical vision libraries (OpenCV)

• Excellent problem-solving skills and the ability to work independently and as part of a team

• Excellent English-language communication skills