W2 ONLY - Need Senior Software Engineer C++ / Irving, TX

Embedded Machine Learning Engineer Location : Irving, TX Role Port and optimize a containerized video analytics pipeline to run on CPU-constrained router hardware (Cradlepoint OS, Wi-Fi 7 PrplOS, FWA routers). You'll own the full stack: model optimization, container architecture, and on-device inference performance. What You'll Do - Port GPU-based video analytics models (object detection, classification) to CPU-only router targets - Optimize inference pipeline to stay under 100MB memory footp

What You'll Do - Port GPU-based video analytics models (object detection, classification) to CPU-only router targets - Optimize inference pipeline to stay under 100MB memory footprint using SLMs - Build containerized architecture with dynamic cloud-driven model loading - Tune accuracy/performance tradeoffs on ARM/MIPS router hardware - Integrate with Cradlepoint OS and PrplOS environments - Benchmark and iterate on detection accuracy vs. latency on constrained hardware Required - 4+ years in em

Position Summary 4+ years in embedded systems or edge ML deployment Experience with containerization (Docker, LXC) on constrained devices ML model optimization: quantization, pruning, ONNX, TensorFlow Lite, OpenVINO Video analytics / computer vision (YOLO variants, object detection pipelines) Python + C/C++ on Linux embedded targets Cross-compilation, profiling, and memory optimization Strong Plus - Cradlepoint NetCloud / PrpIOS / OpenWRT experience NPU/DSP acceleration on ro

Required Qualifications 4+ years in embedded systems or edge ML deployment Experience with containerization (Docker, LXC) on constrained devicesML model optimization: quantization, pruning, ONNX,TensorFlow Lite, OpenVINO Video analytics / computer vision (YOLO variants, object detection pipelines)Python + C/C++ on Linux embedded targetsCross-compilation, profiling, and memory optimization