Applied Intuition
Software Engineer - Calibration Platform
About this role
Applied Intuition seeks a Software Engineer to build a self-service calibration platform that transforms sensor calibration from an expert-dependent process into production infrastructure. You'll own cloud workflow orchestration, automated data validation, and tooling across a multi-platform fleet while debugging issues spanning cloud systems and physical vehicles.
What you'll do
- Onboard new vehicle types and root-cause production calibration failures, converting learnings into reusable workflows
- Build and operate cloud workflow orchestration for calibration at fleet scale, from data collection through evaluation and deployment
- Design automated data-health validation gates for IMU/INS, GNSS/RTK, lidar, and camera sensor data
- Drive cross-team reliability improvements by partnering with build, hardware, and infrastructure teams
- Ship production-quality tooling that non-expert internal users can self-serve
- Debug across cloud and vehicle systems using orchestration logs, application telemetry, and hardware inspection
What they're looking for
- Python and modern C++
- Cloud workflow orchestration frameworks (Flyte, Airflow, Argo preferred)
- CI/CD, containerization, and data pipeline architecture
- Sensor and robotics data literacy (IMU, GNSS/RTK, lidar, camera)
- Cross-team technical influence without formal authority
- Systems debugging from logs and telemetry
- Physical systems or hardware-in-the-loop experience
- Large binary and log data handling
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Applied Intuition
Applied Intuition builds autonomous vehicle and defense systems software, including motion planning algorithms, simulation infrastructure, and autonomy integration platforms for aerial and ground platforms. The company is hiring for security engineers, robotics/autonomy software engineers, hardware-in-the-loop specialists, and IT operations professionals to support its growing physical AI operations.
- Website
- appliedintuition.com
Likely interview questions
- Tell us about a time you debugged a production issue that required tracing through multiple systems — what was your approach to isolating the root cause?
- Describe your experience building or operating a platform that other teams depended on. How did you handle conflicting requirements or priority shifts?