SLAM Engineer

Sunday; Redwood City (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Sunday in Redwood City is seeking a passionate SLAM Engineer to build robust indoor navigation systems for home robotics. You will collaborate closely with teams focused on perception, motion planning, and controls to enhance robotic capabilities in domestic environments.

The ideal candidate has experience with SLAM systems, strong spatial math skills, and is proficient in Python or C++. Join us in advancing home robotics and making technology accessible.

Qualifications

• Experience with SLAM pipelines for indoor navigation.
• Strong grasp of 3D spatial math and camera projections.
• Ability to work with Python or C++ for software development.

Responsibilities

• Build robust indoor SLAM systems using multi-sensor data.
• Develop software pipelines for sensor calibration.
• Collaborate on navigation and collision avoidance.

Skills

Experience with vision-only or lidar-based SLAM pipelines

Deep understanding of spatial math

Familiarity with multi-sensor time-synchronization methods

Experience writing production-quality software in Python or C++

Job description

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 SLAM Engineer, your work will be essential in enabling our home robot to navigate safely in complex and dynamic home environments. You’ll work closely with perception, motion planning, and controls engineers to ensure that we leverage our robot’s onboard sensor suite to reliably generate safe, smooth, and natural motions.

What You’ll Do

• Build robust indoor SLAM system fusing LiDAR, Camera, IMU and odometry data
• Develop software pipelines and processes for multi-sensor calibration
• Collaborate with perception and motion planning engineers on indoor navigation and collision avoidance

What You’ll Bring

• Experience with vision-only or lidar-based SLAM pipelines
• Deep understanding of spatial math including 3D rotation representations, frame transformations, camera projections
• Familiarity with multi-sensor time-synchronization methods
• Experience writing production-quality software in Python or C++

Nice to Have

• Experience building production-grade SLAM systems in autonomous driving, AR/VR or robotics industries
• Familiarity with GTSAM
• Experience with motion-capture systems

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.