Mowito

About Mowito At Mowito (mowito.ai), we’re building Physical AI – intelligent models that directly control robot arms from camera and sensor data. Our robots learn from demonstrations , enabling no-code automation for highly dynamic manufacturing processes. We work with Fortune 500 companies like Denso to deliver advanced robotic solutions for inspection and assembly in automotive factories — reducing deployment time, cutting costs, and making high-end automation accessible to more manufacturers. Role Overview We’re looking for a Junior Robotics Engineer who is passionate about robotics and excited to work on real-world industrial automation challenges. This role is open to fresh graduates and engineers with up to 3 years of relevant industrial experience . You will work on robot perception, planning, and control , contributing to both simulation and live robot deployments. You’ll have the opportunity to take ownership of smaller projects and grow into more complex responsibilities over time. Key Responsibilities Assist in developing and testing algorithms for perception, planning, and control of industrial robotic arms. Work with ROS2 to integrate sensors, actuators, and AI models into robotic systems. Conduct experiments in simulation and on physical robots to validate solutions. Support debugging and troubleshooting of robotic systems during development and deployment. Collaborate with senior engineers to improve existing systems and build new features. Document and share technical findings with the team. Minimum Qualifications Bachelor’s degree in Robotics, Computer Science, Electronics, Mechanical Engineering , or related field. 0–3 years of experience in robotics, automation, or a related domain (academic projects, internships, and research count). Programming skills in Python and/or C++ . Basic understanding of robotics fundamentals : kinematics, control, perception, or sensor integration. Familiarity with ROS or ROS2 (from coursework, internships, or personal projects). Hands-on experience deploying code on actual robots (through academic projects, internships, or prior work experience). Strong problem-solving ability and eagerness to learn. Preferred Qualifications Experience with any robot simulation tools (Gazebo, Isaac Sim, Webots, etc.). Exposure to machine learning frameworks like PyTorch or TensorFlow. Experience with robotics competitions, hackathons, or open-source projects. Knowledge of computer vision libraries like OpenCV . Why Join Mowito? Work on cutting-edge robotics projects from day one. Contribute to solutions deployed in real manufacturing environments . Flexible, collaborative startup culture. Competitive salary with clear growth opportunities. 💡 Whether you’re a fresher or have a few years of experience, if you’re passionate about robotics and want to work on AI-driven industrial robots, we’d love to hear from you.

🏢 About Mowito Mowito builds Physical AI for robot arms, enabling factories to automate dynamic processes without complex programming. Our AI learns from demonstrations, making deployments faster, cheaper, and scalable. We work with Fortune 500 leaders like Denso in automotive manufacturing. 💼 Role We’re looking for a UI/UX (Full Stack) Engineer to design and develop intuitive, high-performance interfaces for our robotics applications. You’ll work closely with AI and robotics teams to bring live robot control, monitoring, and insights to life. ✅ Requirements Frontend: JavaScript, HTML, CSS, React, Tailwind CSS Backend: Python (FastAPI) Cloud: AWS (EC2, S3, Lambda), Kubernetes MongoDB, REST API, WebSockets, MQTT Min. 1 year experience ✨ Bonus Skills Experience in deploying scalable AI applications on the cloud. Experience with building and deploying PyQt desktop apps Node.js, Express.js Website 🌐 mowito.ai

About Mowito At Mowito (mowito.ai), we’re building Physical AI – intelligent models that control robot arms directly from sensor and camera data. Our robots learn from demonstrations, enabling no-code automation for highly dynamic manufacturing processes. We work with Fortune 500 companies like Denso to deliver advanced robotic solutions for inspection and assembly in automotive factories, reducing deployment time and costs while expanding automation’s reach to a broader range of manufacturers. Role Overview As a Senior Robotics Engineer , you’ll design, develop, and deploy advanced robotic control systems for industrial robotic arms. You’ll lead projects from concept to deployment — integrating AI-driven perception, planning, and control to solve complex automation challenges. You’ll collaborate closely with our AI, hardware, and deployment teams to bring cutting-edge automation to real-world factories. Key Responsibilities Lead the design, development, and deployment of advanced robotic perception, planning, and control systems for high-DOF industrial arms. Own projects end-to-end — from requirements gathering, architecture, and algorithm design to deployment and ongoing optimization. Invent and implement novel algorithms that push the limits of robot intelligence, perception, and autonomy. Integrate AI and machine learning models into real-time robotic control pipelines (ROS2-based). Prototype, test, and validate solutions in both simulation and on physical robot systems. Collaborate with AI researchers, mechanical/electrical engineers, and deployment teams to ensure seamless integration. Optimize system performance for low latency, robustness, and industrial reliability . Mentor junior engineers and establish best practices for code quality, testing, and system reliability. Minimum Qualifications Bachelor’s or Master’s in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field. 5+ years of experience in robotics software development (industrial or research). Strong proficiency in C++ and Python (production-level code). Solid foundation in robotics fundamentals : kinematics, dynamics, control theory, motion planning, perception, and sensor fusion. Experience with ROS/ROS2 and real-time robot control systems. Hands-on experience deploying robotic systems in industrial environments. Strong problem-solving skills and ability to debug complex software-hardware interactions. Comfortable working in a fast-paced startup environment with shifting priorities. Preferred Qualifications Master’s or PhD in Robotics, AI, or related field. Experience with industrial arms (UR, FANUC, KUKA, ABB, Yaskawa, etc.). Experience integrating deep learning models (PyTorch/TensorFlow) for perception or control. Knowledge of CNN models , imitation learning, or reinforcement learning. Experience with hardware acceleration (GPU programming, CUDA). Familiarity with safety-critical robotics and ISO standards for industrial robots. Experience leading cross-functional engineering projects. Strong track record of publications, patents, or successful deployed robotic products. Why Join Mowito? Lead projects with full technical ownership and decision-making authority. Opportunity to develop algorithms and systems that have never been built before . Directly impact automation in global manufacturing with Fortune 500 clients. Competitive salary and equity options. Flexible, innovation-driven culture where your work moves from concept to factory floor fast. 💡 If you’re passionate about pushing the boundaries of robotics and AI, and want to see your work power real robots in global factories, we’d love to hear from you.