Computer Vision Engineer - Autonomous Driving

Candela’s ultimate purpose is to speed up the transition to fossil fuel-free lakes and oceans. We strive to re-think efficiency in marine transportation to radically push the performance boundaries of electric boats and ships.

By combining sensors, computers and advanced submerged hydrofoils, our electric craft fly above the water, reaching speeds and range previously attained only by fossil fuel powerboats.

After launching Candela C-7, Europe’s currently best-selling electric boat, we launched Candela C-8 in August 2021, the first electric boat intended for high volume production. We are also venturing into public transport with the revolutionary foiling P-30 ferry, built for the city of Stockholm.

We are now looking for a Computer Vision Engineer to support Candela’s growth ambitions.

About This Role

As a Computer Vision Engineer, you will be responsible for our AI vision stack. You will work on a small, highly focused team developing high-quality software that powers the next generation of our autonomous boats operating in complex open water/sea and harbor environments.



Responsibilities

- Design and develop of machine (deep) learning models for object detection, tracking and image segmentation
- Test and deploy developed algorithms in simulation environments as well as on production boats
- Working in AGILE environment



Qualifications

- MS in Computer Science, Electrical Engineering, Robotics, similar technical field of study, or equivalent practical experience
- Proficiency in Python
- Good knowledge in Deep Learning architectures for Computer Vision and most used libraries (PyTorch, TensorFlow, etc.)
- Experience on all the steps of the machine learning life-cycle from conceptualization to production (data gathering, data exploration, model training and deployment, performance monitoring and continuous improvement)
- Basic knowledge writing C++ code in a production environment
- Demonstrated math skills including geometry, linear algebra, probability, etc.
- Strong English written & verbal communication skills
- Experience working in dockerized environments and following the best development practices

Bonus Qualifications

- Experience in Lidars and Radars
- Experience in ROS1/ROS2
- Knowledge of vehicle/robot kinematics/dynamics
- Experience with safety-critical, real-time mobile autonomous robotic vehicles
- Knowledge/experience of sensors fusion, decision making, or controls is a plus
- Experience building infrastructure for regression testing, performance validation, and system maintenance

Join a stellar team

By bringing together some of the world’s brightest researchers and engineers, we are pushing the boundaries of marine transportation. We take great pride in building engagement within our teams. Our internal motto is “with a revolutionary spirit and kindness”, which translates into an open and honest work environment.

We are a 150-strong, multinational team of experts within dynamic modelling, hardware design, hydrodynamics, control theory, machine learning, structural engineering work and production to build the next generation of waterborne transport.

This is a full-time position at our Headquarter in Frihamnen. Working language is English, if you also know Swedish it will be a benefit for yourself, but it is not a prerequisite for the role.

Application

The selection and interview process is ongoing, so send your application in English as soon as it’s ready. Kindly note that we cannot process applications sent via email.

We welcome the opportunity to meet you!