Software Engineer - Calibration Platform

About the role

Our Localization, Calibration, and Mapping team delivers high-integrity solutions that let autonomous systems navigate with precision in real-time, safety-critical environments — across consumer automotive, trucking, mining, and construction. As a new team focused on platformization, we offer a rare opportunity to own core work leveraged across the entire organization.

You'll build the self-service platform that turns sensor calibration from an expert-dependent process into production infrastructure: cloud workflow orchestration, automated data-health gates, and tooling every autonomy program can run for itself. You'll get there by living in the current system first — onboarding new vehicle types, so what you build is shaped by real-world data and telemetry. We encourage engineers to take ownership of technical and product decisions and to interact closely with users to collect feedback.

At Applied Intuition, you will:

• 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

We're looking for someone who has:

• 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

Nice to have:

• Data or platform infrastructure experience at a robotics, AV, drone, or industrial autonomy company

• Familiarity with robotics log formats and time synchronization (ROS/MCAP, PTP, sensor timestamp alignment)

• Prior exposure to sensor calibration, extrinsics/intrinsics, or geometric transforms

• Experience building self-service tooling for non-expert internal users

• Significant contributions to design documents; experience mentoring engineers