Lead System Engineer

We are looking for a Lead Systems Engineer to drive the design, integration, and deployment of semi-autonomous and autonomous systems. This is a hands-on technical leadership role that sits at the intersection of software and hardware: you will take complex components AI engines, control systems, sensors, and actuators and integrate them into robust, production-ready systems that perform reliably in the real world.

Beyond engineering, you will lead and mentor a team of engineers and coordinate across functions to ensure products are delivered on time and to spec. The ideal candidate combines strong coding fundamentals, deep systems intuition, and the ability to keep multiple workstreams moving toward a shared goal.

The candidate will have responsibilities across the following functions:

Systems Architecture and Integration:

• Architect and integrate diverse software and hardware components into cohesive, well-functioning semi-autonomous and autonomous systems.
• Define interfaces, data flows, and integration standards across subsystems to ensure seamless interoperability.
• Make pragmatic trade-offs between performance, reliability, cost, and time-to-market across the full system stack.

Software Development:

• Design, develop, and maintain software in C++ and Python across critical subsystems, including AI/perception engines, control systems, and sensor-actuator integration layers.
• Write clean, efficient, and maintainable code, with attention to real-time performance and resource constraints.
• Contribute to and uphold engineering best practices around code review, version control, and documentation.

Debugging and Root-Cause Analysis:

• Investigate complex, cross-system issues spanning software, hardware, and their interactions.
• Conduct systematic root-cause analysis to identify the true source of failures rather than surface symptoms.
• Develop efficient, durable resolutions and put safeguards in place to prevent recurrence.

Technical Leadership and Cross-Team Coordination:

• Lead, mentor, and guide a team of engineers, setting technical direction and raising the bar on quality.
• Coordinate across teams software, hardware, AI, QA, and product to align priorities and remove blockers.
• Own delivery milestones, track progress against schedules, and ensure the team ships reliable products on time.

Edge Deployment:

• Deploy and optimise systems on edge devices, accounting for constraints in compute, memory, power, and connectivity.
• Anticipate and resolve deployment-related challenges such as hardware variability, over-the-air updates, latency, and field reliability.
• Tune software for efficient on-device execution without compromising functionality or safety.

Test Strategy and Validation:

• Define and implement comprehensive testing strategies to validate and harden the system end-to-end.
• Build test coverage across unit, integration, hardware-in-the-loop, and system-level scenarios, including edge cases and failure modes.
• Establish validation processes that ensure robustness, safety, and consistent performance before deployment.

Requirements:

• Bachelor's degree in a relevant engineering field (e. g., Computer Engineering, Electrical Engineering, Mechatronics, Robotics, Computer Science, or related discipline).
• 2-4 years of professional experience in systems engineering, ideally involving the integration of software and hardware.
• Strong programming skills in C++ and Python.
• Demonstrated experience developing or integrating components such as AI engines, control systems, and sensor-actuator interfaces.
• Proven debugging and root-cause analysis skills across complex, multi-component systems.
• Experience working with edge devices and an understanding of real-world deployment challenges.
• Ability to design and execute thorough testing and validation strategies.
• Strong communication and collaboration skills, with the ability to lead a team and coordinate across functions.

Preferred Qualifications:

• Master's degree in a relevant engineering field.
• Direct experience building semi-autonomous or autonomous systems (e. g., robotics, drones, autonomous vehicles, industrial automation).
• Familiarity with real-time operating systems, embedded development, and hardware-in-the-loop testing.
• Prior experience leading or mentoring engineering teams.
• Exposure to safety-critical or production-grade system development.

Skills

C++, Python, RTOS, drones, embedded, mechatronics, robotics, system, systems