Project Manager - Autonomous Systems

Responsibilities

• Lead end-to-end project management for Snoonu’s TDG-funded Autonomous Robotics and Logistics Intelligence Platform, ensuring delivery of technical milestones, validation outcomes, and reporting requirements.
• Own project planning and execution across multiple work packages, coordinating timelines, dependencies, and deliverables across AI, robotics hardware, embedded systems, cloud engineering, QA, and operations teams.
• Build and maintain the master project schedule, ensuring clear milestone tracking aligned with TRL advancement targets and pilot demonstration readiness.
• Drive cross-functional coordination and integration planning across subsystems (perception, control, fleet orchestration, optimization engine, HMI, cloud-edge architecture).
• Monitor progress through defined KPIs and performance metrics, proactively identifying issues, blockers, and risks that may impact delivery timelines or research outputs.
• Manage project governance, including weekly progress reviews, technical check-ins, risk reviews, documentation tracking, and follow-up on actions to ensure execution discipline.
• Support stakeholder engagement and coordination with external partners, including regulators, academic collaborators, and ecosystem stakeholders (e.g., QCAA, MOT, universities, and innovation partners).
• Ensure correct documentation and reporting of technical deliverables, validation evidence, and R&D outputs required for grant compliance, audits, and internal leadership updates.
• Coordinate pilot readiness activities, including resource allocation, operational planning, safety preparation, test execution scheduling, and contingency planning.
• Drive continuous improvement in project execution practices by implementing structured workflows, clear communication channels, and effective prioritisation across teams.

Qualifications

• Bachelor’s degree in Engineering, Project Management, Computer Science, or a related field.
• A Master’s degree is a plus.
• Strong leadership and organisational skills with the ability to coordinate multiple teams and stakeholders.
• Excellent communication skills with the ability to translate complex engineering work into clear milestones and actionable plans.
• High ownership mindset, proactive problem‑solving approach, and strong follow‑through.
• Ability to work effectively in fast‑paced R&D environments with evolving requirements and iterative delivery cycles.
• Strong stakeholder management skills, with confidence working with technical teams, executives, and external entities.
• Proven experience managing technical or R&D projects involving software and hardware integration.
• Strong understanding of Agile and structured delivery methodologies (Scrum, Kanban, milestone‑based execution).
• Experience managing cross‑functional engineering workflows, including planning, execution tracking, and delivery reporting.
• Familiarity with the engineering development cycles, including prototyping, integration testing, pilot deployment, and validation.
• Competence using project management and documentation tools (e.g., Jira, Confluence, Notion, MS Project, or similar tools).
• Experience managing projects involving robotics, IoT, AI/ML systems, or fleet/logistics platforms is a strong advantage.
• Awareness of compliance‑driven execution (documentation, evidence tracking, audit readiness) is an advantage.

Benefits

• Global Vibes – Collaborate with a worldwide crew.
• Brain Boosters – Learning budgets, access to courses, and tools for your growth.
• Builder’s Playground – Own your tasks, own your path.
• Flexible Time Off – Generous leave and wellness policies.
• Agile Everything – Scrum isn’t a buzzword here.
• Certified for Excellence – ISO 9001:2015 and ISO 45001:2018 certifications.
• Giving Back Matters – Commitment to CSR and sustainable practices.