What to ExpectIn 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
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.
