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Sunday Robotics

Full Stack Robotics Software Engineer

Sunday Robotics, Mountain View, California, us, 94039

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Join Us in Building the Future of Home Robotics 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.

What to Expect In building robots for the home, we are tackling a true grand challenge in robotics: dexterous and safe mobile manipulation in unstructured environments. To make this possible, we are building across the entire robotics stack. We’re training state‑of‑the‑art AI models that leverage our large‑scale, high‑quality, real‑world data collection system. At the same time, we’re building a new kind of consumer hardware product, which will be deployed into homes and delivering real value for real customers. As an early member of a small, cross‑functional team, you’ll play a key role in pushing both our technology and product forward: advancing the frontier of embodied AI, and soon giving countless hours back to our customers so they can spend more time on the things they value most.

As a Full‑Stack Robotics Software Engineer, you will be responsible for the end‑to‑end software delivery of Sunday’s robot and its supporting infrastructure. This role will be dynamic in nature, you’ll work closely with engineers on our ML, controls, and hardware teams, helping to build key components of our software stack for both research and product development. Even if you don’t have prior robotics industry experience, you might be a great fit if you have exceptional talent for software development, intense drive and curiosity, and you feel at‑home testing your code on electromechanical systems.

What You’ll Do

Rapidly develop clean, maintainable code to enable new robot capabilities and interactions

Develop new software systems for robot performance evaluation, monitoring, and logging

Diagnose and debug complex system‑level issues on real hardware

Support integration/bringup/calibration of new sensors, actuators, and other instrumentation

Build software tooling to help orchestrate large‑scale testing of real robot hardware

Quickly ramp up on new engineering tasks, working closely with other teams to accelerate progress on high‑priority projects

What You’ll Bring

Experience rapidly developing clean, maintainable, production‑quality Python code

Comfort working with rigid body transforms and tensor libraries (numpy, scipy, etc)

Proficiency in visualizing and debugging geometric algorithms involving 3D rotations, kinematics, moving reference frames, etc

Demonstrated ability to independently build robotics systems through a track record of competition (e.g. RoboMaster, FRC), personal or academic projects (excluding homework, course projects)

Ability to efficiently bisect a software stack, isolate bugs, and resolve complex SW/HW issues

Ambition, creative problem‑solving skills, and clear communication

Nice to Have

2+ years of hands‑on experience working with robotics hardware (robot arm, wheeled robot, quadruped/humanoid, camera, LiDAR, depth sensor)

Familiarity with imitation learning

BS/MS in CS or Robotics

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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