The company is a publicly funded research institute located in Abu Dhabi, United Arab Emirates, comprising a diverse community of scientists, engineers, and researchers dedicated to pioneering technological advancements.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
As a Lead Software Engineer specializing in flight control systems and companion compute platforms, you will be responsible for designing, implementing, and maintaining software solutions for NXP-based PX4 flight controllers and Nvidia and Qualcomm mission computers. Your role involves optimizing software solutions for reliability, safety, and performance in complex UAV operations.
Key Responsibilities:
-
Autonomy Software Development:
- Integrate robotics applications on NVIDIA & Qualcomm IQ9 platforms.
- Develop and integrate ROS2-based nodes for autonomy stacks.
- Optimize GPU-based AI/ML workloads for real-time applications.
-
System Integration and Middleware:
- Implement secure application-level network protocols between robotic platforms and Ground Control Stations.
- Develop tools and APIs for data exchange across mission-critical components.
- Support multi-sensor integration with ROS2 middleware.
-
Security and Reliability:
- Design cybersecurity measures for UAV autonomy software.
- Conduct vulnerability assessments and apply secure coding practices.
-
Automation and DevOps:
- Build CI/CD pipelines for deployment on NVIDIA Jetson and Qualcomm IQ9.
- Use containerization and orchestration tools to manage autonomous flight stacks.
-
Engineering Process Optimization:
- Implement telemetry and diagnostics for system monitoring.
- Define best practices for the software development lifecycle.
Industry / Domain:
- Defense Autonomous Systems
- Secure Mission Computing
- Unmanned Vehicles (UxV)
Necessary Knowledge and Experience:
- 10+ years in robotics, autonomous systems, or safety-critical UxV platform development, ideally in defense or aerospace.
- Proficiency in real-time embedded systems and Python for automation.
- Strong experience with ROS2, MAVLink, and mission computer platforms.
- Familiarity with ISO 27001, DO-326A, DevOps/CI/CD, and automated testing.
- Strong English communication skills are required.
Education and Certification Requirements:
- Experience in UAV or aerospace autonomy projects.
- Contributors to the ROS2 or NVIDIA Jetson open-source communities are preferred.
At the company, we strive to help society overcome its most significant challenges through scientific discovery and collaboration, using advanced technology and innovative research methodologies.
