Help build the intelligence that enables autonomous systems to navigate the world with confidence. In this role, you ll develop cutting-edge estimation and navigation technology, transforming advanced algorithms into high-performance software that powers resilient autonomy in complex, real-world environments.

What you'll do

- Research and develop state-of-the-art state estimation and navigation algorithms to enable resilient autonomy in challenging GPS-denied environments.
- Design and deploy production-grade C++ software for embedded robotic systems operating in dynamic, real-world environments.
- Build and maintain rigorous unit, integration, and system-level tests to ensure system robustness and safety.
- Develop and enhance modeling, calibration, and simulation tools for inertial and vision-based navigation systems.
- Contribute to roadmap planning, feature decomposition, and agile execution alongside a multidisciplinary team of autonomy engineers.
- Continuously enhance performance analysis, benchmarking, and validation pipelines to drive rapid innovation and improvement.

Required qualifications

- M.S. in Aerospace Engineering, Electrical Engineering, Robotics, Computer Science, or a related field; minimum 2+ years of related professional work experience if you have an M.S. degree, or 0 years if you are a new Ph.D. graduate.
- Professional proficiency in up-to-date C++ (C++11 or newer) 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 (e.g., EKF, UKF, Particle Filters, graph-based optimization).
- Familiarity with VIO, SLAM, or multi-sensor fusion frameworks (e.g., GTSAM, Ceres, OpenVINS).
- Strong working knowledge of CI pipelines and automated testing frameworks for C++.
- Ability to independently deploy high-reliability code suitable for real-world autonomous systems.
- Familiarity with prototyping in Python or MATLAB is welcome, but this role demands professional C++ production deployment skills. Candidates whose primary experience is in MATLAB or Python are unlikely to find this position a good fit.

Preferred qualifications

- Deep understanding of graph-based optimization for state estimation.
- Experience developing vision-aided inertial navigation systems (VINS, VIO, Terrain Relative Navigation).
- Experience with navigation sensor calibration (IMU, GPS, barometers, magnetometers, laser altimeters, cameras).
- Experience in benchmarking and system validation for real-world navigation performance.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Staff Engineer, State Estimation (India)
🏢 Shield AI
📍 India