At Sunday, we're developing personal robots to reclaim the hours lost to repetitive tasks. We're focused on an ambitious goal to make generalized robots broadly accessible, enabling households to take back quality time.
We have spent the last 18 months building a talented team, securing capital, and validating our technology. We are now seeking passionate individuals to join us in the next phase of our growth. If you are ready to apply your skills to the forefront of robotics innovation, we’d love to hear from you.
As a Robotics Perception Engineer, you will work on the software and algorithms that enable the robot to see and understand the world around it. You will leverage our in-the-wild data collection operation and our growing robot fleet to build a perception system that generalizes across diverse home environments. As an early engineer on a small, cross-functional team, you will play a vital role in pushing our technology forward and advancing the advent of embodied AI.
Develop perception algorithms to enable indoor navigation and scene understanding
Build object detection, segmentation, and 3D reconstruction systems for scene understanding in home environments
Collaborate closely with a full-stack robotics team to develop a consumer personal robot
Write maintainable, production quality code for research and deployment
3+ years (or equivalent) working on computer vision or 3D perception
Proficiency with Python and any deep learning framework (PyTorch preferred)
Experience training models 2D computer vision tasks (e.g. object detection, panoptic segmentation)
Hands-on experience with 3D perception systems (e.g. multiview geometry, depth/flow/feature nets)
Communicates clearly and collaborates effectively, thriving in fast-moving, cross-functional teams
Experience with dense 3D representations (NeRF, Gaussian Splats, occupancy grids)
Comfortable profiling and optimizing for latency, memory, and compute on edge devices
At Sunday Robotics, we’re building technology shaped by real people — curious, creative, and diverse. We’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria — we don’t want that to be the reason we miss out on great talent.
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