Full-Stack CV/ML Systems Engineer
Laminar Engineering ·
unknownRemote (UTC-05)
Salary Range (USD)
Negotiable
Location
Location N/A
Visa Support
Not mentioned
Funding Stage
Unknown
Job Responsibilities
- • Spans the whole pipeline from data to deployed system, including 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
- • Operator‑facing dashboards
- • Own deployed vision systems end‑to‑end, diagnosing and fixing real‑world failures in live video
Required Skills
Applied computer vision and perceptionTracking and real‑time pipelinesNVIDIA edge deploymentStrong Python proficiencyPyTorchTensorRT/ONNXDeepStream/GStreamerEmbedded LinuxFrontend development for operator tooling
Engineering Culture & Tech Stack
NVIDIA JetsonTensorRTDeepStreamPyTorchONNXGStreamerembedded LinuxPython
autonomy
ownership
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Laminar Engineering | Full-Stack CV/ML Systems Engineer | Contract | REMOTE
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.
The 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 contract, flexible hours, some overlap with UTC-05 preferred.
Email hiring@laminr.co and mention HN.
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