Embedded Engr II

• Software Engineering

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

• Video Analytics & Embedded AI

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.

• MLOps

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