Custom embedded, ML, and automotive software for international R&D teams
xBerry is a 11–50 person R&D shop in Poland building embedded systems, machine learning, and automotive software. Their stack spans low-level C/C++ (JNI, AOSP, Android Automotive OS) alongside Python ML pipelines (CUDA, Pytest, FastAPI), with orchestration infrastructure (Kubernetes, Docker, Azure). Project concentration on automotive infotainment integration, silicon wafer analysis automation, and IoT robotics suggests they're solving hardware-software boundary problems for international clients where manual operations and on-site support create friction.
xBerry delivers custom R&D solutions in embedded systems, image processing, and machine learning for clients across Europe and beyond. Founded in 2016, the company operates from Wrocław and specializes in turning early-stage concepts into production systems—particularly in automotive (infotainment stacks, autonomous vehicle platforms), industrial automation (wafer analysis, monitoring platforms), and IoT/robotics. The team is engineering-focused with recent hiring in senior and lead roles, indicating capacity to scale delivery across multiple concurrent projects. They work in partnership models where they form, manage, and scale dedicated development teams rather than offering off-the-shelf software.
Core: C/C++, Java, Kotlin, Python. Automotive: Android SDK, Jetpack Compose, AOSP, Android Automotive OS, Android Auto, JNI. Infrastructure: Docker, Kubernetes, Azure, PostgreSQL, Redis, RabbitMQ. ML: CUDA, Pytest, FastAPI, Pydantic.
Automotive infotainment integration (Android Auto, Android Automotive OS), silicon wafer analysis automation, IoT/robotics projects, hardware abstraction layers for autonomous vehicles, Kubernetes monitoring and self-healing systems, and industrial diagnostics platforms.
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