View on Hacker News
Roles
Compensation
Remote contract with flexible hours (salary not specified).
Benefits
- Remote contract
- Flexible hours
Tech stack
Required
Work setup
- Employment
- contract
- Level
- Senior
- Remote policy
- Remote contract; flexible hours; some overlap with UTC-05 preferred.
- Remote scope
- timezone-limited
- Timezones
- Some overlap with UTC-05 preferred
Role details
Responsibilities
- Own deployed vision systems end to end
- Diagnose and fix real-world failures in live video
- Work across the whole pipeline from data to deployed system
- Implement CV/ML on NVIDIA edge devices
- Perform real-time video processing and multi-object tracking
- Handle camera/gimbal control
- Conduct dataset collection and curation
- Train and evaluate models
- Build backend infrastructure and APIs
- Develop operator-facing dashboards
Requirements
- Applied CV and perception experience including tracking
- Experience with real-time pipelines
- Experience with NVIDIA edge deployment
- Strong Python
- Comfort across the stack
- Experience with PyTorch
- Experience with TensorRT/ONNX
- Experience with DeepStream/GStreamer
- Experience with embedded Linux
- Frontend work for operator tooling
Application
Email hiring@laminr.co and mention HN.
- Portfolio
- not required
- GitHub
- not required
- Cover letter
- not required
- Apply flow
Company context
Build real-time computer vision systems for airborne detection and tracking of drones using multispectral sensing and edge inference.
- Product
- Real-time computer vision systems for airborne detection and tracking of drones; multispectral sensing and edge inference
- Industry
- Computer vision
Contact
hiring@laminr.co
Description
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.
Similar jobs
-
Loading similar jobs...