Full-Stack CV/ML Systems Engineer
Build end-to-end real-time drone detection systems on NVIDIA edge devices
You will own deployed vision systems end to end, from data collection and model training to real-time video processing and multi-object tracking on NVIDIA Jetson devices. This includes diagnosing and fixing real-world failures in live video feeds, developing backend infrastructure and APIs, and creating operator-facing dashboards. The role spans the full pipeline for airborne drone detection using multispectral sensing and edge inference.
Why This Role?
Own deployed vision systems end to end with direct impact on real-world drone detection
Key Responsibilities
- Develop and deploy computer vision models on NVIDIA Jetson using TensorRT and DeepStream
- Process real-time video streams for multi-object tracking and drone detection
- Collect, curate, and manage datasets for model training and evaluation
- Build and maintain backend infrastructure, APIs, and operator-facing dashboards
- Diagnose and fix failures in live deployed vision systems
- Control camera and gimbal systems as part of integrated sensing pipelines
Requirements
- Strong Python programming skills
- Experience with PyTorch for model training and evaluation
- Proficiency with TensorRT, ONNX, or DeepStream/GStreamer for edge inference
- Background in embedded Linux and real-time video processing pipelines
- Frontend development experience for operator tooling and dashboards
- Applied computer vision and perception expertise, including tracking and real-time systems
Required Skills
Indonesia Context
- Working Hours Overlap:
- Minimal overlap — opposite hours
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
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.