Robotics Engineer: Real-Time Vision & Sensor Fusion

Augur Communications Ltd

Greater London

On-site

GBP 60,000 - 90,000

Full time

14 days+

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Job summary

Augur Communications Ltd in London is seeking a Robotics Engineer to own the integration of a new counter-UAS initiative. You will work across robotics, machine learning and systems engineering, proving the concept, building a prototype, and leading it into trials with product partners and stakeholders.

The role requires hands-on hardware/software integration, strong C/C++/Rust and Python skills, and a solid grounding in computer vision and real-time ML deployment.

Qualifications

  • A degree in robotics, electrical engineering, computer science, mathematics or a related field.
  • Strong programming skills in C, C++, or Rust, plus Python.
  • Working understanding of modern computer vision and real-time ML deployment.
  • Hands-on hardware/software integration experience.
  • Self-directed initiative and clear documentation of findings.

Responsibilities

  • Own the integration across robotics, machine learning and systems engineering.
  • Prove out the concept, build the prototype, and take it into trials with product partners.
  • Collaborate with stakeholders and external suppliers to align on requirements and deliverables.
  • Demonstrate state estimation and sensor fusion concepts, including Kalman filtering and related methods.

Skills

C
C++
Rust
Python
Machine learning
Computer vision

Education

Degree in robotics, electrical engineering, computer science, mathematics or related field

Job description

Augur Communications Ltd in London is seeking a Robotics Engineer to own the integration of a new counter-UAS initiative. You will work across robotics, machine learning and systems engineering, proving the concept, building a prototype, and leading it into trials with product partners and stakeholders.

The role requires hands-on hardware/software integration, strong C/C++/Rust and Python skills, and a solid grounding in computer vision and real-time ML deployment.

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