At Ascent, our Robotics Engineers are focused on developing the interface between our AI systems and the physical world transferring our research results into reality. They not only develop code but also make it work on our robotic arms, both real and virtual.

As a member of the Robotics Engineering Team, you'll work closely with software engineers and researchers on our diverse and stimulating range of projects including: designing robotic architectures, developing cutting edge algorithms and prototype applications, providing software design and programming support, along with implementing full robotic solutions. You won't spend all your time over your favorite IDE or editor though, we have plenty of hands-on work to validate our algorithms on real hardware.

At Ascent we are creating a passionate and engaging culture, combining the best of academia and product-led environments, providing a balance of structure and flexibility. Our approach encourages collaboration across all groups within the research team, leading to creativity and innovative breakthroughs at the forefront of robotics.


  • Provide software design and programming support to research projects
  • Architect and implement software libraries
  • Design, build and integrate robotic systems
  • Report and present software developments including status and results clearly and efficiently both internally and externally, verbally and in writing


Minimum Qualifications:

  • BSc/BEng degree in computer science, engineering, robotics, or equivalent
  • Strong math and physics foundation
  • Proficient in C/C++, with strong command of CS fundamentals
  • Experience with Python
  • Basic version control (Git / SVN) knowledge
  • Self-motivated learner
  • Experience at least one of the following robotic subjects:
    • Computer vision (Conventional or Deep-Learning based)
    • Control theory
    • Numerical Optimization
    • Sensor fusion
    • Path planning (IK, A*, RRT, ...)

Plus points for any of the following:

  • Master's degree or further education
  • Experience with ROS or another robotic middleware
  • Experience with GPU Programming (CUDA, OpenCL)
  • Understanding of real-time operating systems constraints
  • Experience with automated testing and deployment (CI/CD) pipelines
  • Strong debugging skills
  • Interest in machine learning and AI
  • Experience using machine learning platforms, tools and libraries (such as Tensorflow, Caffe, Kubernetes, Docker, Chainer, Ansible, Logstash, Amazon AWS, Google Cloud, etc.)


Self-development support, expenses for trips to AI events and gym membership will be provided as benefits.