Solutions Architect (AI/Deepstream)

MUST-HAVE SKILLS:

● System Architecture: Hands-on experience designing and deploying large-scale real-time video streaming systems (hundreds to thousands of streams).

● Programming Languages: Strong proficiency in C/C++ (at least 3 years), with expertise in high-performance, multi-threaded programming and Zero-Copy architecture.

● NVIDIA DeepStream: Deep experience with NVIDIA DeepStream SDK (or equivalent frameworks such as GStreamer, FFmpeg/libav) for building GPU-accelerated video pipelines.

● AI / Computer Vision:

➢ Strong understanding of Computer Vision models (Detection, Classification, Tracking) such as YOLO, ResNet, SSD.

➢ Experience with NVIDIA TensorRT and model optimization techniques (FP16 / INT8 quantization).

● Streaming & Networking: Solid knowledge of video streaming protocols (RTSP, RTMP, WebRTC) and network/buffering issues affecting latency.

● Operating Systems: Strong experience working in Linux environments.

● Compliance with company Information Security policies.

NICE-TO-HAVE SKILLS:

● Experience with Kubernetes/Docker for managing and deploying AI/CV workloads.

● Experience with Message Brokers such as Apache Kafka, RabbitMQ, or cloud equivalents (AWS Kinesis, Google Pub/Sub).

● Knowledge of next-generation GPU platforms (RTX 4090, 5090, L40) and optimization strategies for them.

● Experience implementing MLOps pipelines for Edge devices (e.g., NVIDIA Orin) is a plus.

EDUCATION & EXPERIENCE REQUIREMENTS:

● Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields.

● Minimum 5 years of experience in Software Architecture.

● Minimum 3 years of experience with DeepStream.

● Minimum 3 years of hands-on experience in real-time Computer Vision/Video Analytics projects.