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Software Engineer (Calibration Platform)

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Onsite

Software Engineer (Calibration Platform)

Applied Intuition

Software Engineer (Calibration Platform)

Skills

PythonApache Airflow

19 days ago

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Important information


Contract type:

Permanent

Salary:

$151,000 – $240,000 / year

Location:

Sunnyvale, CA, USA

Work mode:

Onsite

Published on:

2 October 2026

What they need


  • 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

Benefits

  • Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
  • Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
  • 401(k) Match: 50% employer matching to help you save money for retirement
  • Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
  • Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
  • Catered lunch, expensed dinner, on-site meals and snacks- 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

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