Lead Software Engineer – Secure Mission Computing (m/f/d)

Halian; Abu Dhabi; In loco; AED 420.000 - 660.000; Tempo pieno

Descrizione del lavoro

Halian in Abu Dhabi is seeking an experienced Lead Software Engineer to design, develop, integrate, and productize secure mission‑computing software for autonomous platforms. The role spans robotics, embedded Linux, AI acceleration, cybersecurity, and DevOps across NVIDIA/Qualcomm compute platforms.

You will lead ROS2 development, sensor integration, and secure networking while guiding architecture, validation, and deployment from concept to production.

Competenze

• 10+ years of experience in robotics, autonomous systems, mission computing, or safety‑critical unmanned systems.
• Proven ability to bring autonomous or embedded systems from concept to production and field deployment.
• Experience leading technically complex software development and cross‑functional integration.

Mansioni

• Develop and integrate autonomy applications on NVIDIA/Qualcomm platforms.
• Build ROS2 nodes, services, middleware, and modular autonomy components.
• Integrate perception, planning, navigation, sensor fusion, and decision‑making capabilities.
• Optimize GPU/DSP/NPU/AI accelerators for real‑time inference in constrained environments.
• Design secure inter‑platform communication (NATS, ACLs, DDS, MAVLink, UDP).
• Develop APIs and middleware for reliable data exchange across mission systems.
• Lead platform bring‑up on Qualcomm SoC, Linux/Yocto, and driver integration.
• Mentor engineers and drive code reviews, development standards, and CI/CD.

Conoscenze

Real-time embedded systems

ROS2

Python

C/C++

NVIDIA Jetson

Qualcomm SoC bring-up

Docker

Kubernetes

MAVLink/UDP

Linux/Yocto

Formazione

Bachelor's degree in CS/CE/EE/Robotics

Strumenti

NATS

DDS/XRCE-DDS

MAVLink

Git

Descrizione del lavoro

Role Overview

We are seeking an experienced Lead Software Engineer to design, develop, integrate, and productize secure mission-computing software for advanced autonomous and unmanned platforms.

This is a hands‑on technical leadership role spanning robotics, autonomy, embedded Linux, mission computing, flight-controller integration, AI/ML acceleration, cybersecurity, and DevOps. You will lead the development of scalable software running across NVIDIA and Qualcomm-based compute platforms, integrating these systems with flight controllers, sensors, Ground Control Stations, and other mission‑critical components.

The role requires strong experience taking complex autonomous systems from architecture and platform bring‑up through integration, validation, deployment, and production.

Key Responsibilities

Autonomy Software Development

• Develop and integrate robotics and autonomy applications on NVIDIA and Qualcomm-based mission‑computing platforms.
• Build ROS2-based nodes, services, middleware, and modular autonomy components.
• Integrate capabilities supporting perception, planning, navigation, sensor fusion, and decision‑making.
• Optimize GPU, DSP, NPU, and AI accelerator workloads for real‑time inference and resource‑constrained environments.
• Support integration between mission computers and PX4-based flight‑control platforms.

System Integration & Middleware

• Design and implement secure application‑level communication using technologies such as NATS, ACLs, DDS/XRCE‑DDS, MAVLink, and UDP.
• Implement authentication, encryption, telemetry, command‑and‑control, and secure message exchange between autonomous platforms and Ground Control Stations.
• Develop APIs and middleware for reliable data exchange across mission‑critical systems.
• Integrate multiple sensor types including cameras, LiDAR, GNSS, and IMUs using ROS2.
• Support integration with flight controllers, FPGA‑based components, embedded hardware, Ground Control Stations, and mission‑computing platforms.
• Work with multidisciplinary engineering teams to validate complete hardware/software system integration.

Platform Engineering & Security

• Perform Qualcomm SoC platform bring‑up, including BSP integration, Linux/Yocto environments, boot‑chain validation, peripheral enablement, driver integration, and platform debugging.
• Implement embedded security capabilities including secure boot, hardware root of trust, Trusted Execution Environments (TEE), key provisioning, encrypted storage, anti‑rollback, and secure debug controls.
• Support production security workflows including fuse burning, root‑of‑trust provisioning, device identity, secure factory flashing, manufacturing provisioning, and manufacturing test procedures.
• Implement sandboxing, access control, encrypted communications, secure OTA updates, and secure coding practices.
• Conduct threat modelling and vulnerability assessments across embedded and autonomy software.
• Support engineering practices aligned with standards such as ISO 27001 and DO‑326A.

DevOps, Automation & Validation

• Develop CI/CD pipelines for ROS2, embedded software, and AI workloads deployed to NVIDIA and Qualcomm environments.
• Use Git, Docker, Kubernetes, automated testing, and modern software delivery practices.
• Build reproducible development and deployment environments for autonomous software.
• Support SITL/HITL testing, automated validation, code review, release management, and configuration control.
• Use MATLAB or similar engineering tools for automation, test scripting, data analysis, model‑based workflows, validation, and manufacturing automation.

Engineering Leadership

• Define architecture and engineering standards across mission‑computing and autonomy software.
• Implement telemetry, logging, diagnostics, and real‑time system monitoring.
• Optimize software for latency, GPU utilization, energy efficiency, reliability, and system performance.
• Define and maintain software development lifecycle standards, coding guidelines, documentation, and review processes.
• Establish engineering metrics covering deployment cycle time, test coverage, system uptime, quality, and security.
• Drive reusable software components and common frameworks across multiple platforms.
• Lead code reviews, technical retrospectives, sprint planning, backlog refinement, and knowledge‑sharing sessions.
• Mentor engineers and collaborate across software, hardware, systems, security, QA, manufacturing, and integration teams.

Experience

• 10+ years of experience in robotics, autonomous systems, mission computing, embedded platforms, or safety‑critical unmanned systems.
• Significant hands‑on experience developing complex software in aerospace, autonomous vehicles, robotics, or similarly safety‑critical environments.
• Proven experience bringing autonomous or embedded systems from concept and architecture through productization, field deployment, and operational use.
• Experience leading technically complex software development and cross‑functional integration activities.

Technical Skills

• Strong experience with real‑time embedded systems and embedded Linux environments.
• Python for automation, testing, AI/ML workflows, tooling, and data pipelines.
• Advanced experience with ROS2, XRCE‑DDS, DDS, MAVLink, and modular autonomy architectures.
• Experience developing for NVIDIA Jetson and Qualcomm‑based mission‑computing platforms.
• Hands‑on Qualcomm SoC bring‑up, BSP integration, Linux/Yocto, driver integration, peripheral enablement, and platform debugging.
• Knowledge of PX4‑based flight controllers, real‑time operation, telemetry, parameter management, MAVLink/UDP communication, and mission‑computer integration.
• Experience with GPU, DSP, NPU, or other AI accelerators for inference, sensor fusion, and AI/ML deployment.
• Experience integrating camera, LiDAR, GNSS, IMU, flight‑control, and other embedded sensor/peripheral systems.
• Embedded cybersecurity experience covering secure boot, hardware root of trust, TEE, key provisioning, encrypted storage, secure OTA, anti‑rollback, secure debug, and lifecycle‑state management.
• Production security experience including fuse programming, device identity, root‑of‑trust provisioning, secure factory flashing, and manufacturing security processes.
• Experience implementing secure networking and middleware using technologies such as NATS, DDS, ACLs, authentication, encryption, and PKI‑based approaches.
• Experience with Docker, Kubernetes, Git, CI/CD, automated testing, SITL/HITL, and release management.
• Working knowledge of MATLAB or equivalent engineering tools for test, automation, validation, and data analysis.
• Familiarity with ISO 27001, DO‑326A, DO‑178C, and IEC 61508.

Education & Additional Experience

• Bachelor's degree in Computer Science, Computer Engineering, Electrical/Electronics Engineering, Robotics, Aerospace Engineering, or a related discipline. Master's or PhD is advantageous.
• Experience delivering UAV, robotics, aerospace, or autonomous‑system products is highly desirable.
• Experience with machine learning, SLAM, perception, navigation, or multi‑agent systems is advantageous.
• Contributions to ROS2, NVIDIA Jetson, embedded Linux, or related open‑source ecosystems are beneficial.
• Strong English communication skills with the ability to lead technical discussions across multidisciplinary engineering teams.

Industry / Domain

Autonomous Systems | Secure Mission Computing | Robotics | Embedded Platforms | Safety‑Critical Software