Energy Jobline ZR
Sr. Manager - Navigation and State Estimation Engineering (R3035) in Boston
Energy Jobline ZR, Boston, Massachusetts, us, 02298
Overview
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers. 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, please visit Shield AI (text only). Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI’s Hivemind autonomy team is building an SDK that enables resilient, assured navigation solutions for autonomous systems operating in contested environments. We are looking for a
hands-on technical leader
to manage and grow our Navigation and State Estimation team. You\'ll lead a team of 6+ engineers developing state-of-the-art algorithms for GPS-denied navigation, fusing your expertise in state estimation, PNT technologies, and C++ software development to deliver high-impact autonomy capabilities. What You\'ll Do
Lead and mentor a high-performing team delivering robust navigation and state estimation solutions for autonomous aerial systems. Drive the technical roadmap, balancing near-term deliveries with long-term innovation. Architect and review solutions in state estimation, sensor fusion, inertial and vision-aided navigation. Maintain high standards of C++ software quality, system validation, and integration performance. Collaborate with cross-functional teams to ensure successful simulation, HITL, and flight test validation. Support hiring, team growth, career development, and external technical representation. Required Qualifications
Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, or a related field (or equivalent work experience), typically with a minimum of 10 years of related experience; 9 years with a master’s degree; or 7 years with a PhD. Expertise in modern C++ (C++11 or newer) with a strong software engineering foundation. Experience deploying state estimation solution on physical systems in real-world environments Deep knowledge of Kalman filtering, graph optimization, sensor fusion, and inertial navigation systems. Demonstrated success leading engineering projects or small technical teams. Experience delivering autonomy software for robotics, aerospace, or defense platforms. Qualifications
Experience with VIO, SLAM, factor graph optimization (gtsam, Ceres) for GPS-denied navigation. Background in sensor integration (IMU, GPS, magnetometers, barometers, visual sensors). Familiarity with DoD program requirements, operational testing, and autonomy system assurance. Prior experience managing cross-disciplinary teams in agile environments. Additional Information
Candidates may complete a technical evaluation, including a design and coding review, as part of the interview process. Shield AI is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of color, ancestry, national origin, race, religion, sex, sexual orientation, gender identity, age, disability, or veteran status. If you have a special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
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Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers. 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, please visit Shield AI (text only). Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Shield AI’s Hivemind autonomy team is building an SDK that enables resilient, assured navigation solutions for autonomous systems operating in contested environments. We are looking for a
hands-on technical leader
to manage and grow our Navigation and State Estimation team. You\'ll lead a team of 6+ engineers developing state-of-the-art algorithms for GPS-denied navigation, fusing your expertise in state estimation, PNT technologies, and C++ software development to deliver high-impact autonomy capabilities. What You\'ll Do
Lead and mentor a high-performing team delivering robust navigation and state estimation solutions for autonomous aerial systems. Drive the technical roadmap, balancing near-term deliveries with long-term innovation. Architect and review solutions in state estimation, sensor fusion, inertial and vision-aided navigation. Maintain high standards of C++ software quality, system validation, and integration performance. Collaborate with cross-functional teams to ensure successful simulation, HITL, and flight test validation. Support hiring, team growth, career development, and external technical representation. Required Qualifications
Bachelor’s degree in Computer Science, Robotics, Aerospace Engineering, or a related field (or equivalent work experience), typically with a minimum of 10 years of related experience; 9 years with a master’s degree; or 7 years with a PhD. Expertise in modern C++ (C++11 or newer) with a strong software engineering foundation. Experience deploying state estimation solution on physical systems in real-world environments Deep knowledge of Kalman filtering, graph optimization, sensor fusion, and inertial navigation systems. Demonstrated success leading engineering projects or small technical teams. Experience delivering autonomy software for robotics, aerospace, or defense platforms. Qualifications
Experience with VIO, SLAM, factor graph optimization (gtsam, Ceres) for GPS-denied navigation. Background in sensor integration (IMU, GPS, magnetometers, barometers, visual sensors). Familiarity with DoD program requirements, operational testing, and autonomy system assurance. Prior experience managing cross-disciplinary teams in agile environments. Additional Information
Candidates may complete a technical evaluation, including a design and coding review, as part of the interview process. Shield AI is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of color, ancestry, national origin, race, religion, sex, sexual orientation, gender identity, age, disability, or veteran status. If you have a special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
#J-18808-Ljbffr