Full-Stack CV/ML Systems Engineer
Bangun sistem CV/ML lengkap, dari data hingga deployment di perangkat NVIDIA
Kembangkan sistem penglihatan komputer real-time untuk deteksi dan pelacakan drone. Pekerjaan ini mencakup seluruh pipeline, mulai dari pengumpulan data hingga pembuatan dashboard operator. Fokus pada penerapan di perangkat edge NVIDIA (Jetson/TensorRT/DeepStream).
Kenapa Menarik?
Fleksibilitas jam kerja dengan preferensi overlap zona waktu UTC-05
Tanggung Jawab Utama
- Mengembangkan dan memelihara pipeline pemrosesan video real-time untuk pelacakan multi-objek
- Melatih dan mengevaluasi model CV/ML menggunakan PyTorch, TensorRT, dan ONNX
- Mendiagnosis dan memperbaiki kegagalan sistem penglihatan di lingkungan operasional langsung
- Mengelola dataset untuk pelatihan model dan memastikan kualitas data
Persyaratan
- Pengalaman dengan applied CV dan perception, termasuk tracking dan real-time pipelines
- Keterampilan dalam Python
- Pengalaman dengan NVIDIA edge deployment (Jetson / TensorRT / DeepStream)
- Pemahaman tentang embedded Linux
- Familiar dengan GStreamer
Skills Wajib
Konteks Indonesia
- Overlap Jam Kerja:
- Overlap minimal — jam kerja berlawanan
Keywords
Lihat Deskripsi Asli dari HN Who is Hiring
Deskripsi asli dari 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.