About us:
Calder is solving the data bottleneck for embodied AI and world models. Today's AI models lack the real-world, 4D data needed to reason on spatial problems and operate in physical environments. We capture, process, and deliver high-fidelity human-generated spatial data at scale, providing the substrate that trains the next generation of generalizable models for manipulation, navigation, and interaction.
We're looking for a Calibration Engineer to own calibration across Calder's robot and egocentric capture systems for APAC. Calibration is the core of the job: camera intrinsics and extrinsics, stereo, camera–IMU, and hand–eye transforms that downstream SLAM, reconstruction, and policy training depend on. You'll make those results repeatable by driving calibration with robot arms — programming arms to move targets and sensors through planned pose sets, so a calibration is a routine that runs the same way every time rather than a person waving a board. You'll also own enough of the robotics stack to keep that running: arm bring-up, drivers, kinematics, teleop, data collection, and playback. This is a hands-on role: you will spend time at the robot, at the calibration board, and in the stack, not only in simulation.
Own multi-sensor calibration end to end across rigs and egocentric setups in APAC — camera intrinsics/extrinsics, stereo, camera–IMU, and camera–arm / eye-in-hand / eye-to-hand transforms
Use robot arms to make calibration repeatable: plan and program pose trajectories that sweep targets and sensors through full coverage, automate capture and solve, and take operator-to-operator variance out of the result
Define and hold calibration quality bars — reprojection error, coverage, observability, run-to-run repeatability — and gate captures on them
Design and operate egocentric calibration setups (boards, poses, lighting, mounts, capture procedures) so they are repeatable and produce production-quality results
Diagnose calibration and tracking failures from real captures — sync, coverage, board detection, extrinsics drift, kinematic error — and close the loop into procedure and software
Stand up, maintain, and debug Calder's robotics software stack where calibration and capture depend on it: drivers, kinematics, control, teleop, logging, and playback
Prepare robot arms, end-effectors, and lab equipment for calibration work — mounts, cameras, IMUs, compute, cabling, and safety setups
Integrate sensors and robots into a coherent capture cell: time sync, frames, URDF/kinematic models, and calibration provenance that downstream SLAM / reconstruction / policy training can trust
Work with hardware, firmware, and capture software on the mechanical and electrical details that affect calibration quality (camera placement, rigidity, vibration, cabling, compute)
Write runbooks, recipes, and checklists so other operators can reproduce calibration and robot setups without tribal knowledge
Support field and lab issues: a headset that fails calibration, a capture that looks geometrically wrong, a robot that won't home
B.S. or M.S. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent practical experience
3+ years of hands-on camera / multi-sensor calibration — intrinsics, extrinsics, stereo, IMU, or hand–eye — and real familiarity with how those pipelines fail
Experience automating calibration with robot arms, or the clear ability to build it: planned pose sets, hand–eye solving, and turning a manual procedure into a repeatable routine
Hands-on work with robot arms (industrial or collaborative) — kinematics, control, safety, and real hardware bring-up, not only simulation
Working knowledge of a robotics software stack: ROS/ROS2 or a comparable driver/control/logging stack; comfortable reading and changing C++ and Python
Enough hardware fluency to assemble, debug, and iterate physical setups: mounts, sensors, cabling, compute boxes, and basic mechanical/electrical troubleshooting
Comfortable in the lab: you will physically set up robots, calibration rooms, and wearable capture hardware
Strong debugging instinct across hardware and software — you can tell whether a bad result is a loose mount, a sync bug, or a bad transform
Clear written communication: procedures that other people can follow
Kinematic calibration, robot-cell calibration, or factory/lab calibration-room experience
Familiarity with Charuco / AprilTag / checkerboard workflows and bundle adjustment
Egocentric / wearable / AR-VR headset capture (multi-camera headsets, IMUs, body-worn rigs)
Experience with time synchronization (PTP, hardware trigger, software sync)
URDF, MoveIt, Pinocchio, Drake, or vendor arm SDKs
Dexterous hands, grippers, or teleop (VR, gloves, leader–follower)
NVIDIA Jetson, industrial PCs, or similar on-robot compute
CAD enough to design a mount or adapter (SolidWorks, Fusion, or similar) — we are not hiring a full-time mechanical designer
Background in spatial data, SLAM, or robotics data collection at scale
Calder is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Learn more here.
By applying for this position, you consent to the collection, storage, and processing of your personal data by Calder for recruitment purposes. We will handle your information securely and in accordance with local privacy policies. Your data may be shared with authorized third-party service providers aiding in the hiring process.
Job details are sourced from the employer's original posting.
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