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Agility Robotics is scaling production of Digit over the coming years. Reliable, repeatable calibration of every robot -- across perception sensors and kinematics -- is foundational to that scale. The Sr. Staff Software Engineer - Calibration is responsible for Agility's calibration capability end to end.

This is a player-coach role. The successful candidate will personally design, build, and deliver the calibration systems used in production, leveraging existing vendors, components, and systems. The candidate will also identify and develop other engineers contributing to calibration work, and will help shape the long-term technical direction of calibration at Agility.

The role demands strong conceptual depth combined with pragmatic, tried-and-true implementation. Calibration at Agility is a practical engineering discipline grounded in real-world production environments. The successful candidate will operate with broad technical autonomy, set the bar for calibration accuracy and repeatability, and produce outputs that flow into downstream manufacturing processes. Cross-functional overlap with sensor vendors, contract manufacturers, and internal hardware, controls, and perception teams is inherent to the role.

• Design, implement, and deliver calibration systems end to end, including algorithms, fixtures, on-fixture software, data pipelines, validation, and operator workflow.
• Own calibration across perception sensors (RGB cameras, LiDAR, thermal imagers, and other modalities) and kinematic calibration of the robot, including joint approaches that couple sensor extrinsics with arm and whole-body kinematics.
• Establish the data and metrics infrastructure underpinning calibration, including per-unit records, accuracy and drift metrics, traceability, and fleet-level monitoring.
• Own the delivery of calibration fixture software, including operator-facing applications on Linux.
• Own the delivery of in-field self-check and recalibration capabilities to maintain calibration validity through Digit's service life.
• Define the requirements that calibration outputs place on downstream manufacturing processes, including cycle time, repeatability, data capture, and operator workflow.
• Coordinate with sensor vendors and contract manufacturers on the deployment of calibration processes at their facilities, including process documentation, operator training, and acceptance criteria.
• Identify, hire, mentor, and develop other engineers contributing to calibration work.

• 10+ years of practical experience calibrating complex robotic or sensor-rich systems in real production environments.
• Track record of designing and delivering calibration systems end to end, including algorithms, fixtures, on-fixture software, validation, and operator workflow.
• Deep expertise across multiple sensor modalities (RGB cameras, LiDAR, thermal imagers, IMUs, encoders, etc), with working command of kinematic calibration and the coupling of sensor extrinsics to kinematics.
• Demonstrated understanding of what production calibration requires: repeatability, data collection, simplicity, and throughput.
• Experience building the data and metrics infrastructure that supports calibration at scale.
• Strong programming skills in C++ and Python.
• Player-coach orientation: capable of executing the technical work directly, while also identifying and developing the talent that contributes to it.
• Effective collaboration across multiple stakeholders, including hardware, controls, perception, sensor vendors, and contract manufacturers.
• Hands-on engineering practice, comfortable in the lab and on the production floor.

• Owned calibration end to end at an autonomous vehicle company, mobile robotics company (humanoid, quadruped, or other dynamically stable robot), or other hardware organization deploying sensor-rich systems at scale.
• Experience with in-field calibration validation and recalibration on deployed fleets.
• Background in metrology, optical alignment, or geometric computer vision.
• Built the data infrastructure side of production calibration, including traceability databases, per-unit calibration history, and fleet-wide monitoring.

This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.