Principal Engineer, Computer Vision & Edge AI
Core
Building the first product combining machine vision with physical freight to detect, classify, and read text on vehicles at highway speed using ruggedized edge hardware and cloud platforms.
Role type
Principal Engineer, Computer Vision & Edge AI
Builds
Ruggedized capture hardware, on-device ML models, data ingestion platforms, auto-labeling pipelines, and fleet management tooling.
Domain
Logistics / Supply Chain / Computer Vision / Edge AI
Deliverable
production ML models
Required skills
Computer vision (detection, tracking, OCR), Edge/embedded systems (Linux on ARM, Jetson), Model optimization (TensorRT, ONNX, quantization), Camera pipelines (GStreamer), Python, MLOps, Cloud platforms (AWS/GCP)
Preferred skills
Experience shipping vision systems outdoors or on vehicles at scale, Hardware decision-making, End-to-end product ownership
Technologies
Jetson, TensorRT, ONNX, GStreamer, Python, AWS, GCP
Responsibilities
Design and ship ruggedized hardware for unattended outdoor duty, Develop and optimize on-device ML models for real-world conditions, Build high-volume data ingestion and evaluation pipelines, Manage fleet provisioning and over-the-air updates, Own the product end-to-end from hardware to platform
Seniority
Principal, hands-on IC with strategic ownership
