DevJobs

Robotics & AI algorithm engineer

Overview
Skills
  • Python Python
  • Deep learning Deep learning ꞏ 2y
  • TensorFlow TensorFlow
  • PyTorch PyTorch
  • Computer Vision ꞏ 2y
  • Optimization
  • ROS2
  • Sensor Fusion
  • Signal Processing
  • Edge Devices
  • Embedded Hardware
  • LIDAR
  • Radar
  • Sensors Calibration

Are you passionate about autonomous technology, AI, and advanced sensing systems? Axon Pulse is excited to welcome a skilled Robotics & AI Engineer to our Autonomous Team.


At Axon Pulse, we're at the forefront of signal processing and AI innovation. Join us in shaping the future of autonomy by developing state-of-the-art perception and decision-making technologies.


About the Role

We are seeking an experienced Robotics & AI Engineer with a strong background in autonomous perception, deep learning, and sensor fusion. In this role, you will develop both AI-driven and classic algorithms, working with diverse sensors, such as cameras, radars, and LIDAR. This position offers the opportunity to create real-world, mission-critical autonomous systems and directly influence cutting-edge defence and robotics technologies.


Responsibilities

  • Design, develop, and optimize real-time perception and sensor fusion algorithms for autonomous systems.
  • Integrate algorithms into ROS2-based autonomy stacks, working closely with cross-functional teams.
  • Train, evaluate, and refine deep learning models to achieve robust performance in real-time autonomous systems.
  • Lead data collection, curation, and labelling strategies to build robust, high-quality datasets.
  • Collaborate closely with defence industry clients to tailor solutions to their specific needs and specifications.


Qualifications:

  • 5+ years of experience in autonomous perception, sensor fusion, tracking, and computer vision.
  • 2+ years of hands-on experience in Deep Learning and Computer Vision (designing, training, and deploying models).
  • Strong background in Optimization techniques and Signal Processing algorithms.
  • Practical experience with ROS2.
  • Proficiency in Python and related deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Bachelor's degree in Electrical Engineering, Computer Science, Robotics, or a related field (Master’s preferred).

Nice to Have Experience

  • Autonomous robotics or vehicle applications.
  • Radar or LIDAR sensing technologies.
  • Sensors calibration
  • Algorithm deployment on embedded hardware or edge devices.

AxonPulse