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Graduate Computer Vision Engineer

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Vaarst

Jan 12

Applications are closed

  • Job
    Full-time
    Entry Level
  • Software Engineering
  • £25K - £40K
  • Bristol

Requirements

  • Experience in implementing computer vision algorithms
  • Proficiency in modern C++ and at least one scripting language
  • Good understanding of camera fundamentals such as sensors and lenses
  • Good understanding of 3D vision, reconstruction, feature detection and feature tracking
  • Understanding of Machine Learning fundamentals
  • Experience of vision and image processing frameworks such as OpenCV
  • Experience in Linux and shell scripting
  • Grow together with Vaarst where you may learn and use the following:
  • State of the art 3D representations
  • SLAM or Structure from Motion techniques
  • Docker, ROS, git, gstreamer
  • Using CNNs
  • ML frameworks and hands on experience of ML ops
  • Interest in autonomous robotics

Responsibilities

  • Work on algorithms at the cutting edge of computer vision research
  • Learn about underwater vision and sensor systems used by subsea robotics for inspection of infrastructure for the offshore renewables industry
  • Develop interesting novel solutions to practical problems
  • Collaborate in an environment of experts in different fields working together to solve challenges from industry.
  • Performing research, staying up to date with the state of the art including investigating open source projects and off the shelf solutions
  • Generating, developing and evaluating novel solutions to problems, contributing ideas
  • Converting product requirements into actionable work
  • Working with marine sensors (visual and non-visual) and writing code to drive those sensors, acquiring data and analysing it
  • Implementing code and seeing it through into production
  • Writing documentation and unit tests
  • Taking part in onshore trials; optionally also offshore trials

Application Process

  • Application: Begin by submitting your application with your CV, highlighting your skills and experience relevant to the job. Answer key questions on elements that are important to the role.
  • Aptitude Test: Demonstrate your critical thinking, problem-solving abilities, and workplace personality through an aptitude test. It includes a timed cognitive exercise and a workplace personality questionnaire.
  • Talent Partner Interview: We will tell you more about the role, the team and Vaarst’s mission. This is a two-way conversation; we want to learn about your motivation, what you can bring to Vaarst, and provide answers to your questions.
  • Team Interview: Engage in a 1-hour interview with a few team members. Experience the role firsthand and share your skills and experience. We'll discuss our technologies, key skills, and team dynamics. As always, feel free to ask any questions you may have.
  • CTO Conversation: Meet with our CTO for a 30-minute discussion. This is your opportunity to express your thoughts on the role and ask any final questions. We'll clarify expectations and ensure this role aligns with your aspirations.
  • Offer! If you are successful in the process, you'll receive an offer to join Vaarst and become part of our team.

Vaarst

Enabling data to drive the future of digital and industrial asset management

Technology
Industry
51-200
Employees

Mission & Purpose

Vaarst is enabling businesses to harness the power of data and robotics in ocean applications and beyond. Our proprietary SubSLAM technology, machine learning platform and data platform all work in harmony to solve the robotic challenges of today and the future. Our team have won numerous awards and have been recognised for their contribution to advancements in vision, data and autonomous technology.