Senior Engineer, State Estimation; R5165

Shield AI is a venture‑backed defense‑tech company that builds intelligent systems to protect service members and civilians. We are seeking a State Estimation Engineer for our GNC team to develop and optimize algorithms that fuse sensor data to provide accurate state estimates, enabling the X‑BAT to operate autonomously in challenging environments.

• Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors.
• Enhance state estimation algorithms by integrating multi‑sensor data for improved accuracy and robustness.
• Design and implement real‑time sensor data processing pipelines.
• Collaborate with cross‑functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms.
• Conduct experiments and field tests to validate the performance of state estimation algorithms in real‑world scenarios.
• Stay updated with the latest advancements in sensor technologies and state estimation, applying them to our systems.

• Minimum of 5 years of related experience with a bachelor’s degree; or 4 years with a master’s degree; or 2 years with a Ph.D.; or equivalent work experience.
• Experience developing and deploying real‑time sensor processing algorithms (cameras, radar, IMUs, GPS, etc.).
• Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc.
• Experience with C++11 or newer.
• Experience with Linux, command line tools, etc.
• Excellent communication skills for collaborating with multidisciplinary teams and external stakeholders.
• Proven track record of successfully shipping products, navigating development cycles, and delivering high‑quality solutions in fast‑paced environments.
• Demonstrated record of hard work, trustworthiness, and high standards with kindness to others.
• Ability to obtain a S/SAR level security clearance (desired).

• Experience implementing inertial navigation algorithms on real‑time processing systems.
• Knowledge of computer vision techniques.
• Proficiency in optimizing algorithms for compute‑constrained systems.
• Experience with CUDA or other hardware acceleration technologies (e.g., FPGAs).
• Proven track record of transitioning from R&D to production.

$160,000 – $240,000 a year.

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.

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.