Ai & Nvidia Technologies

Description:

Key Responsibilities:
Develop and maintain AI-driven applications using NVIDIA DeepStream SDK
Deploy, manage, and optimize AI models using Triton Inference Server
Design and implement scalable and efficient video analytics pipelines
Collaborate with AI engineers to integrate models into production
Ensure high performance and low latency of AI applications on resource-constrained devices
Write clean, maintainable, and well-documented code
Troubleshoot and debug applications to optimize performance
Participate in code reviews to ensure best practices and coding standards are followed.
Mentor the team and explain development concepts to team members
Stay up to date with the latest advancements in AI, video analytics, and NVIDIA technologies.

Requirements:
Proven work experience as a Developer with a focus on DeepStream and Triton Inference Server
Proven experience in developing solutions for edge devices
Strong understanding of video analytics and AI-driven data processing
Proficient in Python and C/C++
Experience with Gstreamer
Experience with GPU programming and optimization
Knowledge of containerization and orchestration (e.g., Docker, Kubernetes)
Strong problem-solving skills and attention to detail
Ability to work in a collaborative team environment
Excellent communication skills
Experience with other NVIDIA SDKs and tools (e.g., CUDA, TensorRT)
Familiarity with cloud services (e.g., AWS, Azure, Google Cloud)
Familiarity with Agile/Scrum development methodologies.