Address
Form of work
SalaryAutonomous Software Engineer
Bristol / Hybrid
£50,000 - £80,000 DOE + Pension + Progression + Hybrid/Flexible Working + Holidays + More
This is a fantastic opportunity for an experienced Software Engineer looking to make an impact on a high-growth, real-world technology company working on exciting end-to-end projects.
This company, established in the early 2000s, design, develop and produce sensor-based defence and surveillance technology used across a wide range of industries. With projected sales of half a Billion this year and a plan to grow their team within the United Kingdom, it is the perfect time to join this innovative company.
In this role you will be responsible for designing and developing software used for unmanned aerial systems (UAS) for various applications. This includes designing/implementing system autonomy software, review and testing of code and identifying and resolving code defects in new and legacy code.
The ideal candidate will have proven experience developing software for autonomous or drone systems. You will have excellent knowledge of PX4/ROS, Atlassian tool suite, Gazebo (or similar) and proficient with at least one (ideally as many as possible) of C / C++ / C# / Python / Java. Any experience with Computer Vision or Machine Learning is highly beneficial.
This is a great opportunity for a talented Software Engineer to join an international, growing company in a role where you can work on challenging, real-world problems.
The Role:
*Designing and developing software used for unmanned aerial systems (UAS) for various applications
*Coding/implementing system autonomy software
*Review and testing of code and identifying and resolving code defects in new and legacy code
*Commutable to Bristol on a hybrid basis
The Person:
*Proven experience developing software for autonomous or drone systems
*Excellent knowledge of PX4/ROS, Atlassian tool suite, Gazebo (or similar)
*Proficient with at least one (ideally as many as possible) of C / C++ / C# / Python / Java
*Any experience with Computer Vision or Machine Learning is highly beneficial
*Commutable to Bristol on a hybrid basis
