About the job
Be a Part of the Future of Home Robotics
At sunday, we are pioneering the development of personal robots designed to liberate your time from mundane tasks. Our vision is to create versatile robots that are accessible to everyone, allowing families to reclaim precious moments together.
After 18 months of assembling a skilled team, securing funding, and validating our innovative technology, we are now looking for enthusiastic individuals to join us on this exciting journey. If you are eager to contribute to groundbreaking advancements in robotics, we want to hear from you!
Your Role
As a Software Engineer focusing on Robot Behaviors, you will be instrumental in developing advanced decision-making systems that empower our robots to operate autonomously and safely in human environments. This pivotal position combines classical logic with machine learning techniques to facilitate natural interactions and realistic behaviors in a home setting.
Your Responsibilities
Autonomous Behaviors: Design and implement high-level logic and decision frameworks utilizing sensor data to direct robot actions, ensuring safety, intelligence, and supportiveness.
Human Interaction: Collaborate with our Product and Design teams to develop systems that enable seamless communication and social intelligence within home settings.
Animation Systems: Create frameworks that connect expressive character movements with the execution of physical hardware.
Product Shipping: Lead the development of our platform towards in-home Beta launches through the creation of robust, self-sufficient, incremental deliveries that embody the “sunday” promise.
Your Qualifications
Artificial Intelligence: Minimum of 4 years of experience in developing end-to-end AI systems within robotics, gaming, or embodied AI.
Systems Engineering: Proven experience in building multi-process systems using C++ or Python, with a strong grasp of concurrency, event-driven architectures, and safe hardware management.
Innovative Thinking: Awareness of current multimodal model research (e.g., VLMs, VLAs) and understanding their application in practical robotics.
Preferred Qualifications
Experience in a founding or early-stage startup environment is a plus.

