About the project

The micro-kernel architecture of Phoenix-RTOS architecture is the foundation on which we build high-performance and energy-efficient solutions for various embedded market segments.

You will join the Aerospace department, where the following projects are carried out:

Phoenix-SAT a framework dedicated to space applications, optimized for the use of AI/ML algorithms. The main goal of the project is to develop a platform that uses machine learning and artificial intelligence techniques to process and classify data collected from satellite sensors, particularly high-resolution optical and hyperspectral sensors. The key challenge will be ensuring the correct operation of the processing pipeline in a resource-constrained space environment, and in later stages, building solutions that enable model development directly on edge platforms operating in orbit.

Phoenix-PILOT a multi-domain autopilot project, particularly for unmanned aerial vehicles such as multirotor drones and fixed-wing aircraft. The primary objective is to develop autonomous applications for UAVs using ML/AI techniques based on image processing. Key challenges will include preparing object detection and classification models, as well as contributing to the development of decision-making algorithms.

Responsibilities

The person in this position will be responsible for creating and developing software related to the machine learning process, as well as integrating artificial intelligence solutions with other systems developed within the company. They will actively participate in research and development, design, and implementation work, thereby having a real impact on the shape of the software being produced. In particular, they will contribute to the development of Edge-IoT solutions by creating applications that support the automation of the machine learning process.

Required skills

• Higher education with an engineering, master’s, or PhD degree in fields such as computer science, electronics, mathematics, physics or related disciplines.
• Higher education with an engineering, master’s, or PhD degree in fields such as computer science, electronics, mathematics, physics, or related disciplines.
• At least 4 years of professional experience in a similar position.
• Very good knowledge of Python.
• Knowledge of machine learning and artificial intelligence.
• Familiarity with image processing and computer vision techniques.
• Experience in deploying models on embedded hardware (e.g., ARM processors and SoCs).
• Familiarity with frameworks for training and inference of neural networks (PyTorch, TensorFlow, TensorRT, HailoRT, or others).
• Experience in creating and preparing datasets, including data augmentation techniques.
• Experience in research, scientific, or academic (research and teaching) positions at research institutions or universities.
• Scientific and research achievements, including authorship or co-authorship of publications related to technologies used in the project or in other IT areas.
• Experience in research and development (R&D) projects, especially those funded by European or national programs, focused on developing innovative IT solutions.
• Experience in research collaboration with universities, research institutes, or other organizations, both domestically and internationally.
• Experience working on the implementation of new technologies.

Nice to have

• Knowledge of the C programming language.
• Experience in training deep learning models for computer vision.
• Knowledge of model compression techniques (quantization, pruning, distillation).

What we offer

• interesting work in an innovative technology company,
• involvement in ambitious projects carried out with partners from many countries,
• flexible working hours,
• employee benefits - free private medical care, life insurance, multisport card and language classes,
• friendly and creative working environment,
• team-building meetings and trips,
• employee referral program.

To apply please send us a copy of your latest CV to: recruitment@phoenix-rtos.com

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To ensure transparency in the recruitment process, we would like to inform you that Phoenix Systems sp. z o.o. has implemented an Internal Reporting Procedure. Applications are accepted by email at: signal@phoenix-rtos.com, or in person via verbal submission (detailed information can be found at the link above).