Autonomy & Perception Software Engineer
at Shieldai
San Diego, California; San Mateo, California; Washington, D.C.; Orlando, Florida, hybrid, full time
posted 09 Sept 2026
- C++
- LiDAR
- Kalman Filtering
- Sensor Fusion
- GPU
- IMU
- Object Tracking
- Image Processing
- Radar
- Computer Vision
- Detection
- EO/IR
- Python
About the role
Help build perception software that works beyond the lab.Shield AI’s Perception team builds software that helps autonomous aircraft and vehicles understand their surroundings and make decisions in the real world. We’re looking for an experienced engineer who enjoys solving difficult perception problems and turning those solutions into reliable autonomy capabilities. You’ll bring depth in an area such as object tracking, classical/ML-based detection, computer vision, optimal state estimation, or sensor fusion. Working alongside autonomy, simulation, platform, and test engineers, you’ll take capabilities from an initial idea through deployment inthe Hivemind product.
What you would do
Develop perception algorithms and production software in modern C++.
Own features from design and implementation through integration, testing, and delivery.
Investigate system behavior using sensor data, simulation, logs, and focused experiments.
Collaborate across teams to turn research and customer-driven work into reusable product capabilities.
Contribute to technical direction, review designs and code, and mentor other engineers.
What they are looking for
Experience delivering production C++ software for perception, robotics, autonomy, or a related technical field.
Strong technical depth in at least one relevant area: detection, tracking, computer vision, image processing, estimation (e.g. Kalman Filtering), or sensor fusion.
An ability to debug complex systems and build software that others can understand, test, and maintain.
Comfort using Python or similar tools for experimentation and data analysis.
Sound technical judgment and a collaborative approach to solving problems.
real sensors (EO/IR, Radar, LiDAR, IMU)
embedded or GPU deployment
resource-constrained compute environments
This role can be based in San Diego, San Mateo, Washington, DC, or Orlando, with a hybrid schedule of three days per week in the office.
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