What are the responsibilities and job description for the Sr. Perception Software Engineer / Researcher - Zurich, Switzerland position at Robotics and AI Institute?
Our Mission
Our mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives.
Senior Perception Software Engineer / Researcher will have proven hands-on experience developing and integrating state of the art computer vision systems for real-life robot operation. Overall we are looking for T-shaped people – with deep competence in one of our core areas and broad understanding of the field as a whole.
\n- Integrate existing state-of-the-art vision algorithms on robot hardware.
- Work with other researchers on designing, training, developing, and implementing new vision algorithms for robotic manipulation, navigation, state estimation, calibration, etc.
- Collaborate with other teams by designing modular software systems and assisting with software infrastructure like calibration efforts, camera drivers, and containerization.
- Promote and enforce quality and reliability of code through the application of best coding and design practices, mentorship, and regular code reviews.
- Share your innovative work with the community through publications at top-tier conferences (e.g., RAL, ICRA, IROS, RSS, CVPR, NeurIPS, etc.)
- Mentor junior engineers and researchers.
- BS, MS or PhD in computer science, robotics, electrical/mechanical/aerospace engineering, or a related field
- 5 years in a related industry
- Strong programming skills with Python and C
- Experience with ROS 2 and robotic software integration
- Good grasp of at least a handful of computer vision techniques, for example 3D object modeling, depth sensing, scene graphs, robot state estimation, object pose estimation, Gaussian splatting, or point/object tracking
- Proven track record of collaboration and mentorship of junior colleagues
- Experience taking research code to production level
- Deep expertise in software optimization, hardware acceleration or parallel computing (CPU, GPU, CUDA).
- A proven expert-level knowledge of deep learning in the context of robotics problems like semantic segmentation, 3D reconstruction, point cloud registration, or object detection.
- Direct, hands-on experience implementing and debugging factor graph state estimation systems (e.g., using libraries like GTSAM, Ceres, or custom solvers).
- Proven expert-level knowledge of ROS 2 middleware.
- Deep expertise with IMUs, including calibration and integration.
- A track record of publishing at top-tier robotics and computer vision conferences (e.g., RAL, ICRA, IROS, RSS, CVPR, NeurIPS, etc.)
We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
