We are a fast-scaling robotics company delivering Drone Services (UAV), Autonomous Ground Vehicles (AGV), SaaS platforms, and AI-driven systems to enterprise and industrial clients. Our mission is to operationalise autonomy at scale, integrating intelligent machines, cloud software, and AI into commercially viable, high-reliability systems deployed in real-world environments.
ROLE SUMMARY
Reporting directly to the CEO, the Head of Robotics is the executive owner of our end-to-end technology vision, systems architecture, product roadmaps, and technical execution strategy.
You will lead multidisciplinary engineering functions across E&E, AGV Development, UAV Engineering & Operations, IT & Systems (DevOps/SaaS), and AI/ML, transforming advanced robotics R&D into scalable, certifiable, revenue-generating platforms. This role bridges innovation and commercialisation, shaping our transition from high-growth operator to market-leading autonomy company.
KEY RESPONSIBILITIES
1. Technology Vision & Architecture
- Define and own a 35 year technology strategy across UAV, AGV, Robot autonomy software, AI/ML, SaaS, and edge-cloud systems.
- Architect modular, scalable, and secure robotics platforms with OTA capability, fleet telemetry, diagnostics, and cloud orchestration.
- Establish system-level reliability engineering practices, including fault tolerance, redundancy, and observability.
2. Product & Lifecycle Leadership
- Lead the full lifecycle: Research Prototype Validation Field Deployment Certification Scaled Production.
- Define Operational Design Domains (ODD) and safety cases for UAV and AGV deployments.
- Institutionalise structured experimentation while enforcing production-grade engineering discipline.
3. Safety, Compliance & Regulatory
- Oversee regulatory engagement and certification pathways (e.g., CAAM, ISO EASA, FAA or equivalent authorities).
- Implement operational governance frameworks for fleet safety, UTM integration, and incident response.
- Embed cybersecurity, data protection, and secure supply chain practices into product architecture.
4. Engineering & Team Leadership
- Build and scale high-performance teams across hardware, firmware, autonomy, backend/frontend software, DevOps, and MLOps.
- Design career ladders, succession planning, and leadership bench strength.
- Drive cross-functional alignment between R&D, Operations, and Commercial teams.
5. AI, Data & Platform Excellence
- Establish robust data pipelines and MLOps frameworks for continuous improvement of perception, planning, and control stacks.
- Oversee CI/CD pipelines for firmware, embedded systems, Edge Computing and cloud-native SaaS platforms. Ensure production-grade AI deployment with versioning, monitoring, and rollback capability.
6. Strategic Partnerships & Capital Allocation
- Lead supplier and compute strategy (sensors, embedded systems, robotics compute, cloud vendors).
- Own technology budget, capex/opex trade-offs, lab infrastructure, fleet expansion, and tooling investments.
- Evaluate build-vs-buy decisions across hardware and software stack layers.
7. Executive & External Representation
- Serve as technical authority in board discussions, investor due diligence, and enterprise client engagements.
- Represent the company at regulatory forums, industry conferences, and strategic partnerships. Support pre/post-sales technical integrations and enterprise pilots.
REQUIRED EXPERIENCES & QUALIFICATION
- 10+ years in technical roles, including 5+ years in senior leadership (CTO, VP Engineering, Head of Technology).
- Proven record of shipping integrated hardware + software robotic systems into real-world operations.
- Deep expertise in: ROS/ROS2 ecosystems, Real-time embedded systems, SLAM, perception, planning & control, LiDAR, radar, Computer vision systems & Production AI/ML deployment
- Strong experience operating SaaS/cloud platforms supporting distributed fleets.
- Experience working with aviation or autonomous system regulators strongly preferred.
- Degree in Engineering, Robotics, Computer Science, or related field (MS/PhD preferred).
- Strong leadership, project management, and stakeholder communication skills.
- Proficiency in project management tools (Jira, Trello, Asana, MS Project, or similar platforms).
- Experience in digital transformation, automation, and industrial digitalisation solutions.
