Project Manager – Autonomous Systems

Overview

🛠 What You’ll Get Your Hands On

• 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.

🧙‍♂️ The Magic You Bring

• 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.

Inside Snoonu’s Universe

The Dream We’re Chasing

The Quest We’re On

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Perks & Worklife Magic At Snoonu

Builder’s Playground

Flexible Time Off

Agile Everything

Great Place to Work® Certified

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