Perception Engineer Defense Robotics
Description:
Company Description
Must be eligible to obtain a U.S. security clearance
We're seeking a Perception Engineer to lead the development of real-time perception and sensor fusion systems for next-generation defense applications. You’ll design, train, and deploy computer vision models, manage multi-modal sensor data, and ensure robust object detection and tracking on edge hardware.
This is a high-impact role at the intersection of software, AI, and robotics.
Job Description
Build and train deep learning models (e.g., YOLO, RT-DETR) for object detection and classification
Fuse data from RGB, thermal, LiDAR/ToF, IMU, and encoder sensors for real-time perception
Implement advanced image processing (deconvolution, motion isolation, low-SNR detection)
Work closely with hardware teams to integrate and debug sensors over GigE Vision, USB3, SPI, and I C
Develop embedded firmware (C/C++ or Rust) for microcontrollers and FPGAs in RTOS environments
Create scalable data pipelines for ingestion, labeling, and training
Optimize inference for deployment on edge platforms (GPU, FPGA)
Build internal tools for diagnostics, performance monitoring, and auto-retraining
Document your work and mentor other engineers on vision and embedded best practices
Qualifications
3–6 years of experience in computer vision, robotics perception, or sensor fusion
Strong programming skills in C++ and Python
Hands-on with TensorFlow, PyTorch, and real-time inference tools like TensorRT or OpenVINO
Experience with Docker and CI/CD in ML workflows
Background in multi-sensor calibration and synchronization
Degree in CS, EE, Robotics, or similar (PhD a plus)
Strong communication and cross-functional collaboration skills
Obsessive builder mindset — you thrive solving hard technical challenges
Experience with edge-AI optimization (quantization, pruning)
Familiarity with embedded GPU platforms or FPGAs
Background in safety-critical or defense systems
Knowledge of secure coding and cybersecurity best practices