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Kindred Capital
Kindred Capital

Senior Perception Engineer (Vision)



London, UK
Posted on Thursday, July 13, 2023

Job description

At Dexory, we believe that real time data will revolutionise the logistics industry. We are building a platform that provides companies with real time access to their operations. Our autonomous robotics technology combined with our data insights platform help our customers to measure, track and find goods across warehouses in real time, and to build the ultimate digital twin of their facilities.

To make this happen, we want to find people driven by passion and curiosity to join us. We work on complex technical systems, but we don’t just need your technical skills – we want to find people who care about what they are building, and about working as a team in a challenging environment to deliver innovative solutions that impact one of the most important global industries. In this role you will have the opportunity to transform your ideas into tangible products and services, pushing the boundaries of technology and user experience.

If you’re a passionate technologist, but also see yourself as an innovative problem solver and a team player, then this is the opportunity for you.

We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture.

What does this role involve?

As a Robotics Perception Engineer (Vision), you will be responsible for developing and implementing perception algorithms and systems for our robots that do not rely on landmarks or any external scaffolding, but instead operate fully autonomously. You will therefore play a critical role enabling our autonomous robots to perceive and understand their environment, enabling them to interact intelligently and autonomously. The main focus of this role would be to develop detection of obstacles and objects in general, as well as scene recognition in a warehouse environment.


You will be helping improve & test our existing visual perception, improving perception capabilities of warehouse specific objects and enhancing the robustness and reliability of said systems. Your work on computer vision will have a direct impact on our sensor fusion, obstacle avoidance, navigation, object detection and tracking, and on our simultaneous localization and mapping (SLAM).

You will also participate in the development of sensor selection and integration strategies, ensuring the optimal utilization of various sensors such as RGB(D) cameras. In addition, you will contribute to the design, implementation and integration of visual perception with a strong focus on time-critical robustness and the time criticality for constraint systems. Day-to-day work will include developing, testing, improving, and deploying perception systems tailored specifically for the purpose of moving autonomously based on classical computer vision using, e.g., openCV or machine learning models for semantic segmentation, surface estimation or feature extraction (were possible). In the beginning, our focus will be strongly on reliability and we prefer classical “robotics computer vision” over machine learning.

Job requirements

You will need:

5+ years experience in robotics or IoT projects (industry or applied research competitions), where you show strong expertise in:

  • Hands-on experience in integrating and testing of RGB(D) cameras or 3D lidars commonly used in autonomous systems

  • Programming languages such as modern C++, Python

  • Developing, testing, and deploying state-of-the-art perception algorithms, such as visual odometry, obstacle detection for mobile robots, and general object detection

  • Using state-of the-art computer vision frameworks that can be applied to mobile robots

  • Applying linear algebra

  • Classical “robotics computer vision” , i.e., extracting objects from an image

  • Real-time systems, embedded platforms, and optimization for resource-constrained platforms

Preferred Qualifications:

  • Familiarity with robot operating systems (ROS 2) and experience developing perception modules within ROS 2

  • Experience working with autonomous robots more generally in research or industry settings

  • Open-source contributions, ideally for projects tackling robotics perception

Please mark in your CV the areas that indicate your fit the most.

Culture and benefits

As a company, we’re still in the early phase of our life. We’re a small team for the quality and complexity of the products we are building, but we have a great platform in an advanced stage of development – and as an early engineering hire, you’ll play a significant role in shaping the future of our engineering culture. We have a strong focus on building a culture of openness, collaboration, and high performance, but want to ensure a sustainable pace of delivery.

We are a friendly team with our own office, workshop, and warehouse spaces in London and Oxfordshire. We welcome applications from candidates across the UK – however, the nature of our work with hardware means that some on-site visits are required, and you’ll need to visit at least once a month.

You’ll receive a market-rate salary, stock options, as well as an annual training and conference budget.

AAP/EEO Statement

Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

London, England, United Kingdom


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