3 days ago
Base Salary
$160k - $250k/yr
Responsibilities
- Build and maintain tools for ingesting, inspecting, synchronizing, and replaying camera, IMU, GNSS, and other navigation sensor data.
- Develop visualization and diagnostics for trajectories, coordinate frames, uncertainty, estimator residuals, feature tracks, and sensor health.
- Create reproducible evaluation workflows tracking datasets, software versions, calibration, and configuration.
- Build automated benchmarks and regression tests for estimation accuracy, drift, robustness, runtime, and resource usage.
- Enable batch experiments, parameter sweeps, and comparisons across algorithm versions, datasets, and operating conditions.
- Help engineers diagnose timestamp alignment, calibration, frame-convention, data-quality, and estimator issues.
- Integrate tooling into SDK APIs, command-line interfaces, and continuous integration workflows with documentation and examples.
- Partner with tool users to identify workflow bottlenecks and deliver reliable, maintainable solutions.
Requirements
- Degree in computer science, robotics, electrical engineering, aerospace engineering, or a 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 a related technical domain.
- Working knowledge of linear algebra, probability, 3D geometry, and coordinate transformations.
- Familiarity with state estimation concepts including sensor fusion, filtering, nonlinear optimization, visual odometry, or SLAM.
- Experience working 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 include experience with visual-inertial odometry, SLAM, factor graphs, bundle adjustment, Kalman filtering, GNSS-degraded navigation, camera and IMU calibration, temporal synchronization, sensor-noise characterization, or ground-truth alignment.
- Preferred qualifications include familiarity with Eigen, OpenCV, Ceres, GTSAM, ROS/ROS 2, MCAP, Foxglove, interactive visualization, dashboards, simulation, software-in-the-loop or hardware-in-the-loop testing, flight-log analysis, dataset versioning, experiment tracking, distributed evaluation, large-scale data processing, embedded profiling, SDKs, Python bindings, reusable libraries, or tools used by external developers.
Benefits
- Full-time regular employees receive bonus, benefits, and equity in addition to pay within the listed range.
- Temporary employees receive a temporary benefits package applicable after 60 days of employment.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
- The employer provides equal employment opportunity and accommodations for disabilities or special needs.
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.