Job Description
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Join Shield AI’s Hivemind autonomy team, where we are pushing the boundaries of assured navigation and autonomous flight. As a Senior Engineer, you will play a critical role in designing, developing, integrating, testing, and deploying cutting-edge navigation and state estimation algorithms within our Hivemind SDK. We are seeking engineers with a strong foundation in state estimation theory and practical experience deploying robust, real-time solutions in commercial robotics, SLAM, or related autonomy applications.
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 have a new Ph.D graduate.
- Professional proficiency in modern 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, 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).
- Experience with navigation sensor calibration (IMU, GPS, barometers, magnetometers, laser altimeters).
- Experience in benchmarking and system validation for real-world navigation performance.
Senior: $160,000-$240,000
Staff: $187,000-$281,000
Senior Staff: $228,000-$342,000
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Requirements
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 have a new Ph.D graduate.
- Professional proficiency in modern 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, 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).
- Experience with navigation sensor calibration (IMU, GPS, barometers, magnetometers, laser altimeters).
- Experience in benchmarking and system validation for real-world navigation performance.
Senior: $160,000-$240,000
Staff: $187,000-$281,000
Senior Staff: $228,000-$342,000
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