Aurelius Systems
Perception Engineer
$130K–$170K
San Francisco · On-site · Full-time · Posted Aug 7, 2026
- Experience
- 2–6+ years in computer vision, sensor fusion, or robotics perception roles.
- Education
- BS, MS, or PhD in CS, EE, Robotics, or equivalent.
- Visa sponsorship
- Requires U.S. Person status for access to export-controlled information or items.
About the job
Develop and deploy real-time computer vision and sensor-fusion systems for an edge-based laser defense system, from model training and data pipelines to hardware integration and inference optimization.
What you'll do
- Train, validate, and fine-tune models for object detection, classification, and segmentation; build data pipelines for simulated and field data.
- Fuse multimodal sensor data and develop image-processing techniques for real-time detection and tracking.
- Integrate sensors and embedded systems, optimize edge inference, and build telemetry for performance and hardware monitoring.
What they ask for
- 2–6+ years in computer vision, sensor fusion, or robotics perception roles.
- Strong C++ with deep ML engineering experience.
- Hands-on experience with TensorFlow or PyTorch and TensorRT or OpenVINO.
- Experience with real-time computer vision, multi-sensor calibration, and data synchronization.
Nice to have
- Edge-AI optimization, FPGA, or embedded GPU experience.
- Defense or safety-critical systems background; familiarity with cybersecurity guidelines and secure coding practices.
Pay
$130K – $170K USD base salary
Tools
YOLO, RT-DETR, TensorFlow, PyTorch, TensorRT, OpenVINO, ROS2, Docker
AI focus
Develop, train, fine-tune, and deploy machine-learning and deep-learning models for detection, classification, and segmentation; optimize real-time edge inference and data pipelines.
Model-written summary · the original posting is authoritative