Role Overview

We are seeking a Senior Software Engineer to design, develop, integrate, and maintain secure mission-computing software for advanced autonomous and unmanned platforms.

This is a hands-on engineering role spanning autonomy software, embedded Linux, Qualcomm SoC development, flight-controller integration, ROS2 middleware, AI/ML acceleration, cybersecurity, and system integration.

The successful candidate will work across mission computers, flight controllers, sensors, and ground systems to deliver reliable, secure, real-time software from platform bring-up through integration, validation, and production deployment.

Key Responsibilities

Autonomy Software Development

• Design and implement autonomous applications on Qualcomm-based mission-computing platforms, supporting perception, sensor fusion, planning, and navigation. • Develop and integrate ROS2 nodes, services, and middleware for scalable and modular autonomy architectures. • Optimize GPU, DSP, NPU, and AI-accelerated workloads for real-time inference, multi-sensor fusion, and deterministic processing under SWaP constraints. • Integrate autonomy software with PX4-based flight-control platforms and other embedded systems.

Qualcomm SoC & Platform Engineering

• Support Qualcomm SoC platform bring-up, including BSP integration, Linux/Yocto, peripheral enablement, driver integration, and platform debugging. • Implement and validate secure boot processes including boot-chain validation, trusted firmware stages, secure bootloader handoff, image authentication, and production boot locking. • Work with platform security features including hardware root of trust, TEE, key provisioning, device identity, encrypted storage, anti-rollback protection, and secure debug control. • Support production provisioning including fuse programming, root-of-trust provisioning, lifecycle-state transitions, OEM locking, secure factory flashing, and manufacturing controls. • Troubleshoot issues across boot, encryption, provisioning, OTA updates, and manufacturing test workflows.

System Integration & Middleware

• Implement secure communication between mission computers, autonomy software, flight controllers, sensors, and ground systems. • Develop APIs and middleware for efficient exchange of mission-critical data. • Work with ROS2, XRCE-DDS, DDS, MAVLink, and related communication technologies. • Integrate multiple sensor types including cameras, LiDAR, GNSS, and IMUs. • Support integration with NXP/PX4-based flight controllers and Qualcomm-based compute platforms. • Work closely with hardware, software, systems, security, manufacturing, and test teams during end-to-end integration.

Security & Reliability

• Develop end-to-end embedded security covering secure boot, hardware root of trust, chain-of-trust provisioning, encrypted communications, sandboxing, and access control. • Implement identity and access management for mission-software deployments. • Conduct threat modelling, vulnerability assessments, and attack-surface analysis. • Assess security across communication interfaces including RF, GNSS, MAVLink/DDS, compute nodes, and sensor interfaces. • Apply secure coding and cybersecurity practices aligned with standards such as ISO 27001 and DO-326A. • Support secure OTA and production security workflows.

Engineering & DevOps

• Implement telemetry, logging, diagnostics, and real-time system monitoring. • Define and follow SDLC, coding, documentation, and software-quality standards. • Use Git, CI/CD pipelines, Docker, Kubernetes, automated testing, and release-management workflows. • Support automated testing and validation across integrated hardware/software environments. • Track engineering KPIs such as test coverage, deployment cycle time, system uptime, software quality, and security issues.

Experience

• 8+ years of experience in robotics, autonomous systems, embedded platforms, mission computing, or safety-critical software development. • Experience developing complex software for aerospace, robotics, autonomous vehicles, UAVs, or comparable real-time systems. • Strong hands-on experience with Qualcomm-based embedded or mission-computing platforms. • Experience taking embedded or autonomous systems through development, platform bring-up, integration, validation, and production deployment.

Technical Skills

• Strong experience with real-time embedded systems. • Python for automation, AI/ML workflows, testing, tooling, and data pipelines. • Strong experience with ROS2, XRCE-DDS, DDS, MAVLink, and modular autonomy architectures. • Hands-on experience with Qualcomm SoCs and mission-computing platforms. • Experience with BSP development/integration, Linux, Yocto, boot chains, device drivers, peripheral enablement, and platform debugging. • Understanding of PX4 flight controllers, MAVLink communication, telemetry, command/control, and mission-computer integration. • Experience with GPU, DSP, NPU, or AI accelerator workloads for real-time inference and sensor fusion. • Experience integrating camera, LiDAR, GNSS, IMU, and other embedded sensors. • Strong understanding of secure boot, hardware root of trust, TEE, key provisioning, device identity, encrypted storage, anti-rollback, and secure debug. • Experience with fuse programming/burning, root-of-trust provisioning, factory flashing, lifecycle management, and secure manufacturing procedures. • Embedded cybersecurity experience covering encrypted communications, sandboxing, access control, threat modelling, secure OTA, and secure coding. • Experience with Git, CI/CD, Docker, Kubernetes, and automated testing. • Familiarity with ISO 27001 and DO-326A. • Strong debugging and cross-functional hardware/software integration capabilities.

Education & Additional Experience

• Minimum BSc in Computer Science, Robotics, Electrical/Electronics Engineering, Computer Engineering, or a related discipline. • MSc preferred. • Familiarity with TypeScript/JavaScript for control interfaces and engineering dashboards is advantageous. • Experience integrating complex systems across multiple engineering teams or organisations is highly desirable.