Fixed salary commensurate with experience; perform...
Hybrid
Master's degree in engineering or computer science
Machine learning and reinforcement learning algorithms
Computer vision and slam implementation
The role involves developing advanced technologies for autonomous flight, multi-agent teaming, and swarming capabilities within the Unmanned Systems area
Job Summary
The role involves developing advanced technologies for autonomous flight, multi-agent teaming, and swarming capabilities within the Unmanned Systems area.
Candidates will implement algorithms for collaboration between autonomous and piloted systems to assist pilots in achieving common tasks.
The company offers a hybrid work model, continuous professional training, and a focus on employee well-being and diversity.
Matching Summary
The role involves developing advanced technologies for autonomous flight, multi-agent teaming, and swarming capabilities within the Unmanned Systems area.
Salary
Fixed salary commensurate with experience; Performance-based bonuses; Hybrid work and wellness benefits
Skills & Requirements
Must-have
Master's degree in Engineering or Computer Science
Machine learning and reinforcement learning algorithms
Computer vision and SLAM implementation
Drone control stacks like PX4 and Ardupilot
ROS2 middleware and communication protocols
Python C++ C# programming languages
Linux operating system and embedded computing
Nice-to-have
PhD degree preferred
Experience with simulation tools like Gazebo
Optimization algorithms CasADi acados
Team working and problem solving skills
Ability to manage research projects autonomously
Willingness to travel nationally and internationally