Ahmed Fouad

Candidate Message

Dear Snoonu Robotics Team,

I am writing to apply for the Robotics & Mechatronics Engineer position on Snoonu’s AI-driven autonomous logistics platform. Snoonu’s vision to build autonomous ground vehicle and drone systems entirely in Qatar — with local engineers, backed by QRDI, and aligned with Qatar National Vision 2030 — is exactly the kind of mission-driven, ground-up robotics work I have been building toward.

I bring hands-on experience designing and integrating modular robotic systems across the full hardware stack: from edge compute and real-time control layers through to sensor integration, system-level testing, and simulation-to-real deployment. I am eager to contribute that experience directly to Snoonu Robotics’ prototyping and pilot validation cycles.

Hardware Design & Systems Integration
My approach to robotics centers on building cohesive, deployable systems rather than isolated subsystems. I have developed modular robotic architectures structured around two tightly coupled layers:
– An edge compute layer (Jetson, Raspberry Pi) handling perception pipelines, AI inference, and high-level autonomy — directly applicable to Snoonu’s ground vehicle and drone navigation stacks
– A real-time microcontroller layer providing deterministic control of actuators, drivetrains, and power systems — critical for the reliable low-level control Snoonu’s autonomous delivery platforms require

I have worked across the mechanical-electrical boundary in these systems, integrating structural components with power electronics and embedded controllers, and understand the design trade-offs involved in building mobile platforms that need to survive real operating environments.

Sensor Integration & Fusion
I have practical experience integrating and fusing heterogeneous sensor modalities — work that maps directly to the perception stack Snoonu’s platforms depend on:
– Camera-based depth estimation using both monocular and stereo vision, including disparity pipelines for autonomous navigation
– IMU integration and sensor fusion for reliable state estimation in dynamic environments
– Multi-input fusion pipelines combining vision, inertial, and control feedback for real-time decision-making

I am familiar with the calibration, alignment, and validation work required to make these pipelines robust — and understand that field performance in Qatar’s outdoor conditions (heat, dust, glare, vibration) demands both rigorous hardware design and thorough validation before deployment.

Testing, Iteration & Deployment
I have experience across the full prototyping-to-deployment cycle, including:
– Building autonomous RC racing platforms as hardware-in-the-loop testbeds for perception and control algorithm validation
– Running simulation-to-real transfer workflows to de-risk algorithm changes before field trials
– Designing real-time systems with the reliability and determinism required for safe autonomous operation outside of lab conditions

I understand that in an early-stage robotics R&D environment like Snoonu Robotics, iteration speed, clear documentation, and disciplined test-and-learn cycles are as important as raw technical capability — and I am experienced working in exactly that mode.

Cross-Disciplinary Collaboration
I work comfortably at the intersection of hardware and software. I have collaborated across mechanical, embedded, and AI software layers — translating hardware constraints and sensor characteristics into requirements that perception and navigation teams can build on, and vice versa. I can document hardware designs, calibration processes, and test results to the standard required for R&D reporting and TRL milestone reviews.

Why Snoonu
Snoonu Robotics is building something genuinely significant: a Qatar-grown, nationally developed autonomous logistics platform at a time when the region’s appetite for this technology is accelerating rapidly. The combination of Snoonu’s operational scale in Qatar, QRDI backing, and the ambition to develop all technical systems in-house creates the kind of environment where a robotics engineer can do meaningful, high-impact work from day one.

I would welcome the opportunity to discuss how my background in sensor fusion, modular hardware architecture, and real-to-real deployment can contribute to Snoonu Robotics’ next phase of prototyping and pilot validation.

Sincerely,
Ahmed Fouad