Who we are:
Johnson Controls Inc. is a global leader in building automation technology, dedicated to shaping a future that’s safe, comfortable, and sustainable. Our innovative, integrated security solutions protect people, facilities, and assets worldwide. We are passionate about improving the way the world lives, works, and plays.
The Illustra AI Core Team is a dynamic group of AI scientists and software developers, working collaboratively on cutting-edge research and development projects. As part of a global organization, we closely partner with peers worldwide to deliver impactful solutions.
The video analytics server leverages our proprietary AI models to generate real-time insights from live camera feeds, integrated with NVRs and access control solutions. The system offers exciting new features in both AI and software development.
You will develop solutions powered by advanced AI models, deployed across our global Tyco security product line. These solutions utilize cutting-edge Nvidia tools to manage video streams and AI processing.
As part of this team, you’ll work in a dynamic environment where you can make an immediate impact.
How You Will Do It:
As a Senior C++ Developer, you’ll port deep learning models to edge devices and design robust code for our video analytics server. You’ll write efficient, scalable C++ and Python code for on-premise, cloud, and edge environments, optimizing server performance, including GPU utilization. You will focus on debugging applications to ensure low-latency and high-throughput performance. Your work will include using Nvidia DeepStream and Triton Inference Server to manage video and AI models.
As a collaborative team player, you’ll work alongside software developers and AI scientists from multiple countries, contributing to a global development effort.
What We Look For:
Required:
A degree in Computer Science or a related field.
Experience in porting and optimizing algorithms for embedded systems.
Strong skills in Object-Oriented Programming (OOP) with Modern C++ (C++11/14/17).
Experience in multi-process and multi-threaded architectures.
Preferred:
Experience porting deep learning models to TensorRT or similar platforms.
Proficiency in C++/CUDA C with experience working with GPUs.
Familiarity with video technologies such as Gstreamer, DeepStream, and Triton.
Experience with Python microservices architecture.
Knowledge of containerization tools (Docker, Kubernetes).
Linux or embedded development experience.
Proficiency in scripting languages (e.g., Bash).
Experience with Python bindings for C/C++.
Familiarity with Web Services (REST) and messaging systems (e.g., RabbitMQ).
Familiarity with Jira and Confluence.
Experience with Agile/Scrum and Waterfall development processes.
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