VP Engineering

We're looking for a hands-on VP of Engineering who can lead engineering across software, AI, and robotics while staying deeply involved in architecture, coding, and execution. This is not a management-only role. You'll work directly with the founders to turn ambitious ideas into production-ready products at startup speed. What

Responsibilities:

• Lead engineering across AI, Physical AI, robotics, and enterprise software products.
• Own the complete engineering lifecycle from ideation and architecture to deployment and scaling.
• Stay hands-on with system design, architecture reviews, coding, and technical problem-solving.
• Build, mentor, and lead a high-performance engineering team.
• Maximise engineering productivity and execution velocity.
• Drive engineering excellence, code quality, scalability, and operational reliability.
• Collaborate closely with Founders, Product Managers, Business Teams, Tech Support, and Enterprise Clients.
• Translate business ideas into scalable technology solutions.
• Build an AI-first engineering culture across the organisation.
• Physical AI and Robotics (High Priority). This role strongly favours candidates with experience building AI systems that interact with the physical world.
• Experience in one or more of the following is highly desirable: Robotics software and autonomous systems.
• Computer Vision and multimodal perception.
• Robot perception and sensor fusion.

ROS / ROS2 ecosystem:

• Reinforcement Learning
• Edge AI and Embedded AI
• Simulation environments (Isaac Sim, Gazebo, MuJoCo, etc. )
• Human-Robot Interaction
• Industrial automation and robotic workflows
• Physical AI Data Generation (Core Responsibility)A significant part of this role involves building the infrastructure required to train next-generation Physical AI models.
• You will lead initiatives around: Designing scalable data generation pipelines for Physical AI and robotics.
• Building systems for real-world and synthetic data collection.
• Creating high-quality data annotation and labelling workflows.
• Developing simulation-based data generation and domain randomisation pipelines.
• Managing multimodal datasets including video, images, depth, LiDAR, IMU, GPS, and sensor telemetry.
• Improving dataset quality, coverage, and diversity for model training.
• Working closely with AI/ML engineers to improve model performance through better data.

The core requirements for the job include the following:

AI and Machine Learning:

• Strong understanding of modern AI technologies, including: Large Language Models (LLMs)
• Vision-Language Models (VLMs)
• AI Agents
• Machine Learning
• Deep Learning
• Computer Vision
• Model training, fine-tuning, evaluation, and deployment
• MLOps and AI infrastructure

Technical Requirements:

• Strong backend engineering expertise using Python.
• Experience building scalable distributed systems and cloud-native applications.
• Strong frontend experience with React.
• Experience building applications using Flutter.
• Understanding of native Android and/or iOS development.
• Experience with APIs, microservices, event-driven architectures, and cloud infrastructure.
• Strong knowledge of DevOps, CI/CD, monitoring, and production operations.

Leadership and Stakeholder Management:

• You will work closely with multiple stakeholders across the organisation, including: Founders
• Business Teams
• Product Managers
• Engineering Teams
• Tech Support
• Enterprise Clients
• You should be equally comfortable discussing product strategy with founders, solving architectural challenges with engineers, and translating technical decisions into business outcomes for customers.

Good to Have:

• 6- 10 years of engineering experience with increasing technical leadership responsibilities.
• A hands-on engineering leader who enjoys building as much as leading.
• Strong system design and architecture skills.
• Experience building and scaling engineering teams.
• Bias for action with a startup mindset.
• Ability to thrive in ambiguity and execute at high speed.
• Excellent communication and stakeholder management skills.
• Passion for AI, robotics, and building products that have real-world impact.