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Shield AI is seeking a Senior Engineer to build and maintain tools for state estimation and sensor data processing in autonomous systems. You will develop infrastructure for ingesting, inspecting, and replaying camera, IMU, GNSS, and other navigation sensor data. Your work will include creating visualization and diagnostics for trajectories, coordinate frames, uncertainty, estimator residuals, feature tracks, and sensor health.
Key responsibilities include:
- Building reproducible evaluation workflows that track datasets, software versions, calibration, and configuration
- Creating automated benchmarks and regression tests for estimation accuracy, drift, robustness, runtime, and resource usage
- Enabling batch experiments, parameter sweeps, and comparisons across algorithm versions, datasets, and operating conditions
- Helping engineers diagnose failures involving timestamp alignment, calibration, frame conventions, data quality, and estimator behavior
- Integrating tooling into SDK APIs, command-line interfaces, and continuous integration workflows with clear documentation
- Partnering with tool users to identify workflow bottlenecks and deliver reliable, maintainable solutions
You will work on systems that support autonomous vehicles and robotics used in defense and operations worldwide.
REQUIREMENTS:
- Degree in computer science, robotics, electrical engineering, aerospace engineering, or related field, or equivalent practical experience
- Strong software engineering skills in Python and modern C++
- Experience building developer tools, data processing pipelines, test infrastructure, or analysis software for robotics, autonomy, computer vision, or related technical domain
- Working knowledge of linear algebra, probability, 3D geometry, and coordinate transformations
- Familiarity with state estimation concepts such as sensor fusion, filtering, nonlinear optimization, visual odometry, or SLAM
- Ability to work with time-series and sensor data, including timestamps, units, reference frames, missing measurements, and data quality
- Experience developing on Linux using version control, automated testing, debugging, and profiling tools
- Ability to design usable interfaces, write maintainable code, and communicate technical findings clearly
PREFERRED QUALIFICATIONS:
- Experience with visual-inertial odometry, SLAM, factor graphs, bundle adjustment, Kalman filtering, or navigation in GNSS-degraded environments
- Experience with camera and IMU calibration, temporal synchronization, sensor noise characterization, or ground-truth alignment
- Familiarity with libraries such as Eigen, OpenCV, Ceres, or GTSAM
- Experience with robotics data formats and visualization tools such as ROS/ROS 2, MCAP, Foxglove
- Experience building interactive 2D/3D visualization, dashboards, or browser-based engineering tools
- Experience with simulation, software-in-the-loop or hardware-in-the-loop testing, and flight-log analysis
- Familiarity with dataset versioning, experiment tracking, distributed evaluation, or large-scale data processing
- Experience profiling numerical software on embedded or resource-constrained systems
- Experience shipping SDKs, Python bindings, reusable libraries, or tools used by external developers
