Research Engineer - State Estimation and Visual Odometry (ML+classic)

Flexion; Zürich; Vor Ort; CHF 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Front-row seat at leading robotics公司

Energetic, collaborative team

Zusammenfassung

Flexion in Zurich is seeking a computer vision and sensor fusion expert to develop robust state estimation solutions for humanoid robots. The role emphasizes proprioceptive and visual sensors and close collaboration with a dynamic team.

You will work on advanced VIO, motion estimation, and end-to-end learning approaches, with strong C++ and Python experience and a focus on real-time deployment on robotic systems.

Qualifikationen

• PhD or master's degree in computer vision or robotics with relevant experience.
• Multi-year experience in visual inertial odometry (VIO) and motion estimation.
• Excellent knowledge of efficient C++ programming and real-time deployment.
• Experience with Python, PyTorch, and training of deep neural networks.
• Hands-on experience with robotic systems and/or AR/VR devices.

Aufgaben

• Develop robust state estimation and sensor fusion for humanoid robots.
• Advance visual odometry and motion estimation capabilities.
• Collaborate in a fast-moving robotics team and own projects.
• Deploy algorithms on real-time robotic platforms.

Kenntnisse

Visual odometry

Sensor fusion

C++ programming

Python

Real-time deployment

Machine learning

Ausbildung

PhD or Master''s in computer vision/robotics

Tools

PyTorch

Jobbeschreibung

About Flexion

At Flexion, we're building the intelligence layer powering the next generation of humanoid robots. Our mission is to accelerate the transition from fragile prototypes to real-world humanoid deployment. We are founded by leading scientists in robot reinforcement learning (ex-Nvidia, ex-ETH Zürich), and backed by leading international VC firms. In just months, we’ve gone from our first line of code to deploying real humanoid capabilities.

The Role

We are looking for a computer vision and sensor fusion expert to strengthen our team in Zurich.

The goal of this position is to develop next-generation robust, reliable state estimation solutions for humanoid robots, primarily using proprioceptive and visual sensors.

We are looking for an expert in optimization-based and filtering-based state estimation and sensor fusion for robotic systems, ideally with a focus on visual odometry. Moreover, the person should have a strong understanding of modern machine learning methods, including sequence-to-sequence learning, autoregressive, and diffusion models. Good knowledge of recent end-to-end learned odometry and motion estimation solutions is beneficial.

Particularly:

• PhD or master's degree in computer vision or robotics with relevant experience.
• Multi-year experience (either PhD or industry) in visual inertial odometry (VIO) and motion estimation.
• Excellent knowledge of efficient C++ programming and real-time deployment.
• Experience with Python, PyTorch, and the training of deep neural networks.
• Hands-on experience working with robotic systems and/or AR/VR devices.
  

We are looking for a person who enjoys working in a team in a dynamic, fast-moving environment and is able and willing to take ownership of projects and decisions.

• Competitive compensation
• A front-row seat at one of Europe’s most ambitious robotics companies
• An energetic, collaborative team with a bias for action