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Laminar Engineering is hiring a
Full-Stack CV/ML Systems Engineer

About Laminar Engineering

Laminar Engineering builds real-time computer vision systems for airborne detection and tracking of drones, combining multispectral sensing and edge inference. We're delivering this for a client, and we're looking for a versatile engineer to join the R&D effort. This is a role for someone who thrives with autonomy when given a clear end state. More details to be shared with the right candidates.

Job Description

Role spans the whole pipeline from data to deployed system: CV/ML on NVIDIA edge devices (Jetson / TensorRT / DeepStream), real-time video processing and multi-object tracking, camera/gimbal control, dataset collection and curation, model training and evaluation, backend infrastructure and APIs, and operator-facing dashboards. You'd own deployed vision systems end to end, including diagnosing and fixing real-world failures in live video. Strong fit: applied CV and perception, including tracking, real-time pipelines, and NVIDIA edge deployment, plus strong Python and comfort across the stack. Relevant experience: PyTorch, TensorRT/ONNX, DeepStream/GStreamer, Embedded Linux, and frontend work for operator tooling.

Remote

Remote Conditions

Remote contract with flexible hours; some overlap with UTC-05 preferred.

Salary

Not Specified

Benefits

Not Specified
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