Senior C++ Embedded Engineer - CNN Deployment in Motorola Solutions Systems Polska

Department Overview

Video Solutions teams in R&D center in Krakow have been growing dynamically since 2019. Currently, we have more than 150 specialists on board working on solutions for fixed and mobile cameras, video analytics, video management systems as well as access control.

We bring advanced video and analytics capabilities to public safety and commercial customers including healthcare, airports, retail, critical infrastructure and public venues. No longer is video just reactive – looking back at what has taken place – but it also informs proactively, issuing alerts in real-time when a person, object or vehicle appears or a perimeter is crossed. This critical intelligence enables users to take the right action more quickly.

We are seeking an experienced Senior Embedded Developer to join our team and work on the implementation of a hardware accelerated CNN inference engine for Motorola's video product line of analytics cameras and appliances running the Linux operating system. Motorola's video analytics platforms allow our users to proactively monitor their premises using advanced video analytics and high resolution/high quality video. Partnering with a team of hardware, platform, client/server, multimedia, SQA, and computer vision developers, you will develop software for a new hardware component that accelerates CNN inference. In this role, you will also help architect production software for new computer vision and machine learning features based on our research team’s algorithms.

• 5+ years of experience in developing embedded software for resource-constrained systems. Strong embedded programming skills are essential.
• Proficiency with modern C++ (C++14 or newer) and design patterns.
• Proven expertise in developing high-performance software utilizing hardware acceleration techniques (e.g., GPUs, specialized AI accelerators). Experience with optimizing CNN inference for specific hardware architectures is a significant advantage.
• Deep understanding of multi-threading and multi-process communication concepts. Ability to design and implement efficient inter-process communication mechanisms for high-performance systems.
• Strong communication and collaboration skills. Ability to work effectively within a team and communicate technical concepts clearly.

Nice to have:

• Experience with continuous integration in a highly available production environment
• Experience with scripting languages (esp. Python)

Department Overview

Video Solutions teams in R&D center in Krakow have been growing dynamically since 2019. Currently, we have more than 150 specialists on board working on solutions for fixed and mobile cameras, video analytics, video management systems as well as access control.

We bring advanced video and analytics capabilities to public safety and commercial customers including healthcare, airports, retail, critical infrastructure and public venues. No longer is video just reactive – looking back at what has taken place – but it also informs proactively, issuing alerts in real-time when a person, object or vehicle appears or a perimeter is crossed. This critical intelligence enables users to take the right action more quickly.

We are seeking an experienced Senior Embedded Developer to join our team and work on the implementation of a hardware accelerated CNN inference engine for Motorola's video product line of analytics cameras and appliances running the Linux operating system. Motorola's video analytics platforms allow our users to proactively monitor their premises using advanced video analytics and high resolution/high quality video. Partnering with a team of hardware, platform, client/server, multimedia, SQA, and computer vision developers, you will develop software for a new hardware component that accelerates CNN inference. In this role, you will also help architect production software for new computer vision and machine learning features based on our research team’s algorithms.

,[Architect and implement a high-performance, multi-threaded embedded software solution for hardware-accelerated CNN inference, deeply integrating with specialized hardware components to maximize performance., Design and develop robust inter-process communication mechanisms for seamless interaction between the CNN inference engine and other system components, ensuring optimal system performance., Collaborate closely with the hardware team to optimize software-hardware integration and achieve peak performance, understanding hardware constraints and limitations., Contribute to the development of a robust and scalable software infrastructure, writing clean, well-documented code adhering to best practices., Develop comprehensive unit tests and integration tests to ensure software quality and reliability., Work closely with our research team to explore and integrate new advancements in computer vision and machine learning algorithms, contributing to the forefront of AI-powered video analytics.] Вимоги: C++, Design Patterns, Continuous integration, AI, Scripting language, Python Бонуси та переваги: Sport subscription, Training budget, Private healthcare, Small teams, International projects, Free coffee, Canteen, Bike parking, Playroom, Shower, Free snacks, Free parking, No dress code.