Technology Innovation Institute · United Arab Emirates
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
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:
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.
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.
Confirmed on the employer’s own board 5h ago.
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