Software Engineer - Calibration Platform

Job description

Job responsibilities

• Own calibration across a growing multi-platform fleet: onboard new vehicle types, root-cause production failures, and convert what you learn into reusable workflows
• Drive cross-team work that raises the reliability of the entire calibration path — partner with build, hardware, and infrastructure teams to trace failures to their source
• Build and operate cloud workflow orchestration for calibration at fleet scale, from data collection through evaluation and deployment
• Design automated data-health gates that catch bad IMU/INS, GNSS/RTK, lidar, and camera data before it reaches the calibration path
• Ship production-quality tooling that non-expert internal users can run themselves
• Debug across the cloud/vehicle boundary — tracing root causes through orchestration and application logs one day, verifying how a sensor is actually wired the next

Job requirements

• A track record of driving technical work across team boundaries: comfortable raising problems with the teams that own them, building agreement on systemic fixes, and following through without formal authority
• 4+ years building and operating production software systems, with strong Python and modern C++
• Demonstrated ownership of a pipeline, platform, or internal tool that other teams depended on
• Hands-on depth with a cloud workflow orchestration framework (Flyte preferred; Airflow, Argo, etc.), plus CI/CD, containerization, and data pipelines over large binary or log data
• Strength in debugging systems from logs when the surface symptom is misleading
• Enough sensor and robotics data literacy to reason about validity: what good IMU/INS, GNSS/RTK, lidar, and camera data looks like, and how to design a check that catches bad data
• Experience with physical systems, sensors, or hardware-in-the-loop
• Automates recurring failures out of existence