Computer Vision Engineer

Avular; Eindhoven; Híbrido; EUR 70.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities

Non-contributory pension scheme

Travel cost reimbursement

Team events & office culture

30 paid vacation days

Descripción de la vacante

Avular is seeking a Computer Vision Engineer to strengthen the Control team in Eindhoven. You will apply CV expertise to localise robots and enable autonomous navigation, while contributing to perception challenges like object tracking and scene understanding.

You’ll implement vision-based functionality from prototype to deployment, validating algorithms on real robots and documenting results. Collaboration with engineers, and deploying on embedded hardware, are key parts of the role.

Formación

• Master’s degree or PhD in Robotics, Computer Science, Control Systems, Mathematics or a related field.
• 3+ years of professional experience in computer vision or robotics, with CV as core strength.
• Strong analytical skills with an algorithmic mindset and geometric CV experience.

Responsabilidades

• Develop vision-based functionality from prototype to deployment, focusing on localisation using optical flow, visual odometry and map matching.
• Work on core product development and create custom solutions for customer applications.
• Deploy and validate algorithms on real robots, assessing accuracy, robustness and compute needs.
• Collaborate with robotics and software engineers and align with system architects.
• Document approaches and results, and test software against requirements.
• Analyse logs and ROS bags to evaluate performance and investigate issues.

Conocimientos

Computer vision

Robotics

C++

Analytical thinking

Educación

Master’s degree or PhD in a related field

Herramientas

OpenCV

ROS 2

Linux

Git

Descripción del empleo

We’re looking for a Computer Vision Engineer to join the Control team!

You’ll bring computer vision expertise to our team, initially focusing on helping our driving and flying robots localise reliably in the real world. Your work will provide a foundation for autonomous navigation, with opportunities to contribute to broader perception capabilities, such as object tracking and scene understanding, as our products evolve.

You’ll develop solutions that work on real robots, taking their hardware capabilities, limitations and operating environments into account. Computer vision will be your speciality, but not your only activity: as part of a multidisciplinary team, you’ll also contribute to other robotics software and autonomy challenges as product and project needs change.

Develop vision-based functionality from prototype to reliable deployment, with an initial focus on localisation through techniques such as optical flow, visual odometry and map matching.

Work on core product development and create custom solutions for customer applications.

Deploy and validate your algorithms on real robots, assessing their accuracy, robustness and computational requirements.

Collaborate with robotics and software engineers, and align your approach with system architects.

Document your approach and results, and test your software against specified requirements.

Analyse logs and ROS bags to evaluate performance and investigate reported issues.

Contribute your expertise to broader robotics challenges and propose improvements to our robots’ perception and autonomy.

You have a Master’s degree or PhD in Robotics, Computer Science, Control Systems, Mathematics or a related field.

You preferably bring 3+ years of professional experience in computer vision or robotics, with computer vision as a core strength.

You have strong analytical skills and an algorithmic mindset, with experience in geometric computer vision. Relevant areas include camera calibration, motion estimation, optical flow, camera-based SLAM and map matching.

You have deployed algorithms on robotic or embedded hardware and validated their performance through experiments and recorded sensor data, preferably outside the lab.

You have hands-on experience with OpenCV and are comfortable developing with C++, ROS 2, Linux and Git.

You are familiar with working in larger software projects, including managing dependencies, versioning, releases and system deployment.

You enjoy working with mobile robots and are willing to contribute beyond computer vision when the team or project needs it.

You communicate clearly in spoken and written English.

We also welcome complementary experience in other sensing technologies, such as depth cameras, time-of-flight sensors or radar; learning-based perception and GPU acceleration; or software tooling such as Docker, automated testing frameworks and CI/CD. These are useful additions, not prerequisites.

At Avular, work meets play in the best possible way. We’re shaping the future of robotics, and we want you along for the ride. Here’s what’s waiting for you:

Grow & Shine: Bring your vision and grow your career in a fast-paced, high-tech environment

We’ve Got You Covered: Salary based on experience level, A non-contributory pension scheme and travel cost reimbursement mean less stress and more focus on what you love

Share in Success: As part of our participation plan, you’ll benefit directly from the company’s growth

Play Hard: Game nights, Friday drinks, epic team events, and celebrations make our office more than just a workspace

Recharge Your Way: Enjoy 30 paid vacation days (plus national holidays) to unwind, explore, or simply relax

Fuel for Greatness: Savour the best coffee and fresh fruit to power your day

Innovation Central: Work at our beautiful office in Strijp-T, Eindhoven, a buzzing hub of forward-thinking companies and cutting-edge ideas

At Avular, we’re on a mission to revolutionise robotics:
"With gorgeous tech, we accelerate the creation of mobile robotic applications that shape a brighter future for all."
From our home base in Eindhoven, we design the tech behind autonomous robots, crafting drones and driving robots from scratch.

Are you our new colleague? NB! Adding a motivation letter to your application would also be a big plus.