Embedded Engr II

Posted 28d ago

Strong experience in Linux application development on both embedded and server platforms

Proficiency in modern C++ (14/17/20)

Solid Python experience for scripting, tooling, and service development

Knowledge of distributed systems and message‑bus architectures (e.g., MQTT, Kafka)

Hands-on experience with REST and gRPC API design and implementation.

Familiarity with CI/CD workflows and tools such as GitHub Actions, CMake, Docker, and Kubernetes

Strong unit testing skills using frameworks such as GTest and pytest

Experience with GStreamer and custom plugin development for cross-platform.

Understanding of inference runtimes such as ONNX Runtime, TensorRT, or OpenVINO

Exposure to CV/AI workloads on edge hardware (NPU, GPU, DLA)

Familiarity with RTSP and shared‑memory buffer integrations

Understanding of computer vision algorithms such as object detection, object tracking, and segmentation etc.

Experience with MLOps tools for model monitoring, issue detection, and retraining workflows

Hands-on with MLflow for experiment tracking and model registry

Knowledge of dataset versioning tools like DVC or equivalents

Familiarity with observability tools such as Evidently, Grafana, and Prometheus

==Nice to Have==

Experience with video analytics development.

Experience developing custom Node‑RED nodes or packaging flows.

Background in physical security, VMS/NVR systems, or surveillance analytics

Hands-on experience with Ambarella SoCs (CV25 / CV28 / CV72) and EazyAI / CVflow toolchains

Understanding of advanced CV algorithms (e.g., pose estimation, re-identification algorithms)

Experience with Label Studio for annotation project setup and model‑assisted labeling

Integration experience with LLM/VLM models (e.g., LLaVA, Qwen‑VL) in real‑time data pipelines or agent-based systems

Skills