VP - Robotics & Physical AI

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.
• Build, mentor, and lead a high-performance engineering team.
• Stay hands-on with system design, architecture reviews, coding, and technical problem-solving.
• Maximize 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 organization.
• Physical AI and Robotics: This role strongly favors candidates with experience building AI systems that interact with the physical world.
• A significant part of this role involves building the infrastructure required to train the next generation of 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 labeling workflows.
• Developing simulation-based data generation and domain randomization 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.

Requirements:

• 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; the 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; and physical AI data generation.
• Hands-on 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.

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 of 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 organization, including founders' business teams, product managers, engineering teams, tech support, and 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.