Senior State Estimation Engineer — Real-Time Sensor Fusion

Shield; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Shield AI in Dallas is seeking a State Estimation Engineer to develop and optimize algorithms for sensor fusion and real-time processing to enable autonomous operation of the V-BAT platform.

You will work on the GNC team with cross-functional engineers, applying Kalman filters, integrating IMUs, radar, GPS, cameras, and coordinating field tests to validate performance in dynamic environments.

Qualifications

• Minimum 5 years of related experience with a Bachelor’s degree (or 4 years with a Master’s, or 2 years with a PhD) or equivalent.
• Experience developing real-time sensor processing algorithms with cameras, radar, IMUs, GPS, etc.
• Solid understanding of state estimation techniques (Kalman filters, particle filters).
• Experience with C++11 or newer.
• Experience with Linux and command line tools.
• Excellent communication and collaboration across multidisciplinary teams.
• Proven track record of shipping products in fast-paced environments.

Responsibilities

• Develop and implement advanced sensor algorithms for IMUs, radar, cameras, GPS, and other sensors.
• Enhance state estimation by integrating multi-sensor data for improved accuracy and robustness.
• Design and implement real-time sensor data processing pipelines.
• Collaborate with software, autonomy researchers, and hardware engineers to ensure integration.
• Conduct experiments and field tests to validate algorithms in real-world scenarios.
• Stay updated with sensor tech and state estimation advances and apply them to systems.

Skills

C++ 11+

Linux

Sensor fusion

State estimation

Education

Bachelor’s degree or higher

Tools

CUDA

FPGAs

Job description

Shield AI in Dallas is seeking a State Estimation Engineer to develop and optimize algorithms for sensor fusion and real-time processing to enable autonomous operation of the V-BAT platform.

You will work on the GNC team with cross-functional engineers, applying Kalman filters, integrating IMUs, radar, GPS, cameras, and coordinating field tests to validate performance in dynamic environments.