Lead Software Engineer

Technology Innovation Institute (TII) is a publicly funded research institute, based in Abu Dhabi, United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

Role Overview

• As an experienced Lead Engineer with expertise in flight control systems and companion compute platforms, your leading role will be in designing, implementing, and maintaining software solutions across NXP-based PX4 flight controllers and Nvidia-based and Qualcomm-based mission computers. You will optimize solutions for reliability, safety, and performance in complex UAV operations.
• This position requires a deep understanding of real-time embedded systems, proficiency in PX4 autopilot software, and the ability to integrate high-performance applications on NVIDIA& Qualcomm IQ9 platforms. As a leader in our UAV development projects, you will play a key role in shaping our autonomy stack, ensuring scalability, safety, and secure communication across the system.
• Lead engineer will take ownership in developing SW features and productization of the TII Secure Software Platform for large-scale defense UxV (Unmanned Vehicle) mission computer applications.

Functional Activities

Autonomy Software Development: 

• Integrate robotics applications on NVIDIA & Qualcomm IQ9 platforms for perception, planning, and navigation. 
• Develop and integrate ROS2-based nodes and middleware to support modular autonomy stacks. 
• Optimize GPU-based AI/ML workloads for real-time inference, sensor fusion, and decision-making.

System Integration and Middleware: 

• Experience implementing secure application-level network protocols (NATS, ACL, DDS, etc.) between robotic platforms and Ground Control Station
• applications, including message exchange, authentication, encryption, telemetry, command/control flows, and secure communication handling.
• Develop tools and APIs for efficient data exchange across mission-critical components. 
• Support multi-sensor integration (camera, LiDAR, GNSS, IMU) with ROS2 middleware. 
• Has basic understanding on Flight Controller devices and PX4-based flight-control platforms, including real-time operation, MAVLink/UDP communication, telemetry, command/control flows, parameter management, sensor/peripheral interfaces, and integration with NVIDIA-based Mission Computer software.
• Ability to work with Flight Controller hardware, FPGA, security, and systems teams to validate end-to-end integration across Mission Computer, Flight Controller, Ground Control Station, and unmanned vehicle platforms.

Security and Reliability: 

• Design and enforce cybersecurity measures for UAV autonomy software (secure boot, encrypted comms, sandboxing). 
• Implement identity management and access control for mission software deployments. 
• Conduct threat modeling, vulnerability assessments, and apply secure coding practices. 
• Ensure compliance with aerospace cybersecurity frameworks (ISO 27001, DO-326A). 

Automation and DevOps:  

• Build CI/CD pipelines for deployment of ROS2 and AI workloads on NVIDIA Jetson and Qualcomm IQ9.
• Use containerization (Docker) and orchestration tools for reproducible autonomous flight stacks. 
• Apply understanding of MATLAB and related engineering tools for automation, test scripting, data analysis, model-based workflows, validation support, and manufacturing procedure automation.

Engineering Process Optimization: 

• Implement telemetry, logging, and diagnostics for real-time system monitoring. 
• Continuously optimize software for GPU utilization, latency reduction, and energy efficiency. 
• Define and enforce best practices in software development lifecycle (SDLC) for autonomy stack. 
• Standardize coding guidelines, documentation, and review processes to ensure maintainability and quality. 
• Define KPIs (e.g., deployment cycle time, test coverage, system uptime, security incidents) to track engineering efficiency. 
• Encourage reuse of components and frameworks across projects to reduce duplication. 
• Organize regular code reviews, technical retrospectives, and knowledge-sharing sessions. 
• Sprint planning, backlog grooming, and daily stand-ups. 
• Automated testing, HITL/SITL, code review, and release management. 
• Metrics tracking, velocity, and continuous improvement of the engineering process. 

Industry / Domain

Defense Autonomous Systems / Secure Mission Computing / Unmanned Vehicles (UxV)

Necessary Knowledge And Experience

• 10+ years of experience in robotics, autonomous systems, or safety-critical UxV platform development, preferably in defense or aerospace environments.
• Proficiency in real-time embedded systems and Python for automation, AI/ML workflows, testing, and data pipelines.
• Strong experience with ROS2, XRCE-DDS, MAVLink, and modular autonomy stack architecture on NVIDIA Jetson and Qualcomm-based mission computer platforms.
• Hands-on experience with Qualcomm SoC platform bring-up, including BSP integration, Linux/Yocto environments, boot chain validation, peripheral enablement, driver integration, and platform debugging.
• Understanding of Qualcomm security features, including secure boot, hardware root of trust, TEE, key provisioning, encrypted storage, anti-rollback, secure debug control, and lifecycle-state enforcement.
• Experience with production security workflows, including fuse burning, root-of-trust provisioning, device identity, factory flashing, secure provisioning, and manufacturing test procedures.
• Hands-on experience with GPU, DSP, NPU, or AI accelerator-based workloads for sensor fusion, real-time inference, and SWaP-constrained AI/ML deployment.
• Experience implementing embedded cybersecurity measures, including encrypted communications, sandboxing, access control, threat modeling, secure OTA, and secure coding practices.
• Familiarity with ISO 27001, DO-326A, DevOps/CI/CD, Git, Docker, Kubernetes, automated testing, and cross-functional integration.
• Strong English communication skills and ability to work with software, hardware, security, manufacturing, QA, and systems teams under pressure.

Education And Certification Requirements

• Experience in UAV or aerospace autonomy projects. 
• Contributions to the ROS2 or NVIDIA Jetson open-source community. 
• Knowledge of ML, SLAM, or multi-agent coordination. 
• Familiarity with standards (ISO 27001, DO-178C, DO-326A, IEC 61508). 
• Proven track record of bringing autonomous systems from concept to product, including field deployment and user adoption. 

At TII, we help society to overcome its biggest hurdles through a rigorous approach to scientific discovery and inquiry, using state-of-the-art facilities and collaboration with leading international institutions. Our rigorous discovery and inquiry-based approach helps to forge new and disruptive breakthroughs in advanced materials, autonomous robotics, cryptography, digital security, directed energy, quantum computing and secure systems.