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Applied Intuition

Builds software for autonomous vehicles

Software Engineer - Calibration Platform

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$151k - $240k /yr

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Computer Engineering, or a related field.
  • At least 4 years of experience building and operating production software systems, with strong Python and modern C++.
  • Demonstrated ownership of a pipeline, platform, or internal tool depended on by other teams.
  • Hands-on experience with a cloud workflow orchestration framework; Flyte is preferred, with Airflow, Argo, or similar frameworks also relevant.
  • Experience with 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 data validity, including IMU/INS, GNSS/RTK, lidar, and camera data, and design checks that catch bad data.
  • Experience with physical systems, sensors, or hardware-in-the-loop.
  • Ability to automate recurring failures.
  • Ability to drive technical work across team boundaries, raise issues with owning teams, build agreement on systemic fixes, and follow through without formal authority.

Responsibilities

  • Own calibration across a growing multi-platform fleet by onboarding new vehicle types, root-causing production failures, and converting findings into reusable workflows.
  • Drive cross-team work to improve reliability across the calibration path, partnering 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 invalid 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 and verifying how a sensor is wired.

Desired Qualifications

  • Data or platform infrastructure experience at a robotics, autonomous vehicle, drone, or industrial autonomy company.
  • Familiarity with robotics log formats and time synchronization, including ROS/MCAP, PTP, and 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 and experience mentoring engineers.
  • Experience with Flyte is preferred; Airflow, Argo, or similar cloud workflow orchestration frameworks are also relevant.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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