MR. ROBOT specialises in developing intelligent robotics and automation systems that enhance operational performance in retail, logistics, and commercial environments. By combining advanced AI, robotics engineering, and system integration, we deliver practical, scalable solutions that help businesses innovate operational workflows and prepare for tomorrow's automation demands. Focused on real-world deployment rather than prototypes, Mr. Robot's offerings are designed to integrate seamlessly with existing systems-bringing robotics out of the lab and into productive use. Driving Southeast Asia's automation revolution with AI robotics for partners, integrators, and industries ready to scale.
The Chief Technology Officer (CTO) - AI & Robotics Platform will lead the definition and execution of Mr. Robot's end-to-end robotics and AI platform strategy. This role is pivotal in building scalable
robotics deployment infrastructure, advancing proprietary AI capabilities, and establishing a robust
tele-operations backbone alongside a defensible, data-driven Retail AI Brain.
The CTO will play a critical role in transforming Mr. Robot into a data-centric AI platform company,
driving sustainable and recurring revenue streams through Robotics-as-a-Service (RaaS), AI licensing, and tele-operations optimization.
Job Responsibilities:
Robotics Platform Architecture
- Architect and oversee the full robotics technology stack across multi-brand platforms.
- Design modular and scalable robotics architectures tailored for structured indoor environments.
- Develop hardware abstraction layers to minimize OEM dependency and improve flexibility.
- Standardize deployment frameworks to accelerate rollout timelines and optimize cost efficiency.
- Ensure compliance with relevant safety, regulatory, and robotics standards.
- Drive lifecycle optimization aligned with RaaS business economics.
Tele-Operations & Fleet Infrastructure
- Design, build, and scale a robust tele-operations architecture.
- Develop low-latency control and telemetry systems over 4G/5G networks.
- Implement centralized fleet management and monitoring platforms.
- Define and execute autonomy uplift strategies to reduce reliance on human intervention.
- Optimize tele-operations cost per deployment while maintaining service quality.
- Establish cybersecurity frameworks to safeguard systems, data, and infrastructure.
Data Platform & AI Infrastructure
- Own the end-to-end robotics data pipeline and MLOps ecosystem.
- Develop and scale SKU recognition and retail shelf intelligence datasets.
- Build analytics capabilities for human-robot interaction insights.
- Implement real-time fleet analytics dashboards for operational visibility.
- Establish cross-border data governance and compliance frameworks.
- Define and drive data monetization strategies.
Retail AI Brain & AI Roadmap
- Define and execute a multi-year AI strategy spanning perception, cognition, and autonomy.
- Lead the development of a proprietary Retail AI Brain as a core IP asset.
- Develop Vision-Language-Action (VLA) systems tailored for retail environments.
- Drive AI localization strategies across Southeast Asia markets.
- Translate AI capabilities into scalable, subscription-based products and licensing models.
Leadership & Governance
- Build, lead, and scale high-performing teams across Robotics, AI & Data, and Tele-Operations.
- Establish best practices in DevOps, MLOps, and engineering governance.
- Proactively manage scalability risks, system reliability, and technical debt.
- Collaborate closely with business leaders to align technology with commercial strategy.
- Represent Mr. Robot in industry engagements, partnerships, and investor discussions.
Required Qualifications & Experience:
- Master's or PhD in Robotics, Artificial Intelligence, Computer Science, or a related field.
- Minimum 10 to 15 years of experience in robotics, AI, or deep-tech environments, with at least 5 years in a senior leadership role.
- Proven track record in scaling real-world robotics deployments and AI-driven platforms.
- Deep knowledge of robotics frameworks such as ROS/ROS2, SLAM, computer vision, and autonomous systems.
- Strong experience in Edge AI, cloud platforms (e.g., AWS, GCP, Azure), and MLOps pipelines.
- Expertise in distributed systems, real-time data processing, and telemetry architectures.
- Familiarity with networking (4G/5G), IoT systems, and cybersecurity best practices.
- Experience in building and managing large-scale data platforms and AI models in production.
- Strong leadership capability with experience building and scaling cross-functional engineering teams.
- Strategic mindset with the ability to balance innovation, speed, and operational excellence.
You'll only be the right candidate if you are aligned to our values and culture:
- Innovation: Challenge the status quo, embrace change, and drive continuous improvement.
- Teamwork: Collaborate effectively and contribute to shared success.
- Excellence: Strive for high standards in both delivery and customer experience.
- Integrity: Act with honesty, transparency, and accountability.
- Thrive in a fast-paced, purpose-driven environment.
- Motivated to make a meaningful impact within a high-performing team
If you believe you match our values and have the experience we're looking for, then apply! We can't wait to hear from you
