Software Engineer (Calibration Platform)
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- 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
- 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
- Automates recurring failures out of existence
- Experience with physical systems, sensors, or hardware-in-the-loop
- 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
- 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
- Demonstrated ownership of a pipeline, platform, or internal tool that other teams depended on
- 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
- Strength in debugging systems from logs when the surface symptom is misleading
- 4+ years building and operating production software systems, with strong Python and modern C++
- 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