Real-Time State Estimation Engineer for GPS-Denied UAVs

Shield AI; Boston (MA); On-site; USD 120,000 - 250,000; Full time

Job summary

Shield AI is seeking a State Estimation Engineer to advance sensor fusion and navigation algorithms for autonomous UAVs. You will develop real-time state estimation pipelines, integrate multi-sensor data, and collaborate with autonomy, software, and hardware teams to ensure robust system performance in dynamic environments.

The role focuses on transitioning research into fielded capabilities, enabling precision navigation solutions for mission-critical applications and demanding operational

Qualifications

• Minimum 3 years of relevant experience with a bachelor’s degree; or 2 years with a master’s; or 1 year with a PhD.
• Proficient in real-time environments using C++11 or newer.
• Comfortable in Linux and using command-line tools and scripting.
• Strong written and verbal communication skills with a collaborative mindset.

Responsibilities

• Develop and implement real-time state estimation algorithms for navigation in GPS-denied or degraded environments.
• Integrate data from IMUs, GNSS receivers, visual odometry, magnetometers, barometers, and radar.
• Design sensor processing pipelines focused on accuracy and fault tolerance.
• Collaborate with autonomy, software, and hardware teams for end-to-end integration.
• Conduct simulation, lab testing, and field trials to evaluate performance.

Skills

C++11

Linux

Scripting

Communication

Algorithms familiarity

Education

Bachelor’s degree

Master’s degree

PhD

Tools

CUDA

FPGAs

Job description

Shield AI is seeking a State Estimation Engineer to advance sensor fusion and navigation algorithms for autonomous UAVs. You will develop real-time state estimation pipelines, integrate multi-sensor data, and collaborate with autonomy, software, and hardware teams to ensure robust system performance in dynamic environments.

The role focuses on transitioning research into fielded capabilities, enabling precision navigation solutions for mission-critical applications and demanding operational