FDE (Vision and ML)

We're HiringBook a DemoWe're HiringBook a DemoBack6/9/26|HUNTSVILLE, AL | SAN FRANCISCO, CA | DETROIT, MI | HYBRIDFDE (Vision and ML)FDE (Vision and ML)Conduit has built the system of record for the modern factory floor. We move manufacturers from one-off automation projects to holistic production systems where robots, machines, operators, sensors, and factory software synchronize. We are live with top manufacturers, are well capitalized, and are growing quickly. We are hiring the FDE who can stand up a real-time computer vision system on a customer's line and the next day be in the CEO's office talking about results.The RoleThis is a customer-first FDE role applied to computer vision and ML. You will go into a customer's plant, understand what they actually need to see — defects, ergonomics, throughput, machine state, operator behavior, material flow — and stand up the streaming vision system that captures, classifies, and acts on it in real time.You are technical enough to own the full pipeline: data collection on real factory hardware, manual and automated labeling, model training and evaluation in PyTorch, inference deployment on edge hardware you specced and ordered. You love to be people facing and are energized by delivering stellar outcomes for your customers.What you'll doOwn customer CV/ML deployments end to end. Scope the problem, install cameras and edge compute, build the data pipeline, train the model, deploy inference, validate on the floor.Build end-to-end pipelines from training to inference. Data collection, labeling (manual and automated), training, evaluation, deployment, monitoring.Stream and process video at industrial volume. Multi-camera setups, real-time inference on the edge, intelligent downsampling, smart triggers, alerting.Apply CV to industrial problems: defect detection, classification, action / ergonomics analysis, machine state, material tracking, operator-assist.Spec and order the hardware to run it. GPUs, edge boxes, cameras, lenses, lighting. You are comfortable being trusted with a $40K compute order.Translate customer needs into clean engineering briefs for the SF team. Build relationships with plant managers and operators so the system gets used.Travel frequently. The factory is where the work is.Who You Are4+ years of applied ML / CV work, including production deployments. You have shipped at least one inference pipeline that someone other than you depended on.You have built end-to-end pipelines from training to inference, including the data labeling muscle — both manual workflows and automated / programmatic labeling, weak supervision, pseudo-labeling, active learning.Strong Python. Strong PyTorch. You are conversational with modern CV — detection, segmentation, classification, action recognition, vision transformers, multi-modal — and the relevant inference toolchain (TensorRT, ONNX, Triton, etc.).You are comfortable around hardware. You have selected cameras, ordered GPUs, set up edge inference boxes, and dealt with the surprises that come from running compute in a factory.You are great with customers. You can do a plant tour, push back on a CEO, and earn the trust of an operator who has never seen a model before.Industrial work experience — manufacturing, logistics, warehousing, AV, energy, or similar — is a real requirement, not a nice-to-have.You want to be a part of the reindustrialization of the United States.Bonus PointsExperience with industrial machine vision (Cognex, Keyence, Zebra / Adaptive Vision, MVTec Halcon).Experience with NVIDIA Jetson, Orin, Isaac, Triton, TensorRT, DeepStream.Experience streaming video at scale — RTSP, GStreamer, multi-cam sync, edge-to-cloud pipelines.Experience with ergonomics, pose estimation, action recognition, or video understanding.Experience with annotation platforms (Scale, Labelbox, V7, internal tools) and building automated labeling loops.There are a lot of places to do CV. Almost none of them put you in front of customers. This is the...