Perception Engineer

About the Company

Aurelius Systems is a VC backed defense tech startup building autonomous, edge deployed directed energy systems for counter-UAS. We build laser weapons to shoot down drones.

Responsibilities

• Design, train, validate and fine-tune machine-learning and deep-learning models for object detection, classification, and segmentation
• Integrate and fuse data from multi-modal sensors (RGB, thermal, LiDAR/ToF, IMU, encoders)
• Research and implement high and low-level image-processing techniques
• Collaborate with hardware teams to integrate sensors over GigE Vision, USB3 Vision, CAN, SPI, and I²C protocols
• Build scalable data ingestion, labeling, augmentation, and storage pipelines
• Optimize inference frameworks for edge deployment (GPU/FPGA)
• Develop dashboards and telemetry for drift analysis and hardware health monitoring
• Author technical documentation and mentor junior engineers

Requirements

• 2–6+ years in computer vision, sensor fusion, or robotics perception roles
• Strong C++ with deep ML engineering experience
• Hands-on with ML frameworks like TensorFlow or PyTorch
• Experience with real-time inference engines such as TensorRT or OpenVINO
• Familiarity with ROS2, Docker, and CI/CD for ML pipelines
• Experience with multi-sensor calibration and data synchronization
• BS, MS, or PhD in CS, EE, Robotics, or equivalent

Preferred Qualifications

• Edge-AI optimization (quantization, pruning)
• Experience with FPGA or embedded GPU platforms
• Background in defense or safety-critical systems
• Familiarity with cybersecurity guidelines and secure coding practices