3 days ago
Base Salary
$200k - $300k/yr
Responsibilities
- Research and develop state estimation and navigation algorithms for resilient autonomy in GPS-denied environments.
- Design and deploy production-grade C++ software for embedded robotic systems.
- Build and maintain unit, integration, and system-level tests for robustness and safety.
- Develop modeling, calibration, and simulation tools for inertial and vision-based navigation systems.
- Contribute to roadmap planning, feature decomposition, and execution with autonomy engineers.
- Improve performance analysis, benchmarking, and validation pipelines.
Requirements
- M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field with at least 2 years of related professional experience, or 0 years for a new Ph.D. graduate.
- Professional proficiency in modern C++ and strong object-oriented design skills.
- Hands-on experience deploying low-latency C++ applications to embedded Linux platforms.
- Professional experience designing and implementing state estimation algorithms such as EKF, UKF, particle filters, or graph-based optimization.
- Familiarity with VIO, SLAM, or multi-sensor fusion frameworks such as GTSAM, Ceres, or OpenVINS.
- Strong knowledge of CI pipelines and automated testing frameworks for C++.
- Ability to independently deploy high-reliability code for real-world autonomous systems.
- Experience with graph-based optimization, vision-aided inertial navigation, navigation sensor calibration, benchmarking, and system validation is preferred.
- Python or MATLAB prototyping familiarity is welcome, but professional C++ production deployment experience is required.
Benefits
- Full-time employees receive pay within the listed range plus bonus, benefits, and equity.
- Temporary employees receive pay within the listed range plus a temporary benefits package applicable after 60 days.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
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.