Manager of software engineering állások, munkák rendszertervező kategóriában

• Model Development: Design, train, and fine-tune machine learning models using large-scale datasets to solve complex problems.
• Data Management: Collect, clean, and preprocess data to ensure high-quality inputs for AI systems and model training.

• Discussing and clarifying requirements with our internal domain experts
• Design and development of the algorithms that are optimized over various layers of our software stack
• Design and development of the software that interacts with specific hardware components

• Design, implement, and manage applications in the energy sector, with focus on trading and scheduling tools
• Partner with trading department to understand business needs and challenges, and propose innovative solutions leveraging your technical expertise

Optical Signal Modelling & ML Development: Design, develop, and refine machine-learning models that estimate blood pressure from optical data (PPG/rPPG, RGB video) captured via smartphone cameras...

• You will play a crucial role in digital transformation Projects
• Ensure project deliverables meet quality standards
• Support the development and implementation of technical solutions to monitor and improve data quality across the enterprise, with a strong focus on SAP R/3 and S/4HANA

Lead and mentor a team of Data and AI engineers, setting objectives, reviewing code, and fostering professional growth....

• Collaborate closely with your Tech Lead on architecting new features and seeing them through to completion.
• Design, develop, test, deploy, and maintain software in a thriving environment.

Key job responsibilities * Participate in the design and development of state-of-the-art SQL query processing engines * Define query rewrite rules and optimize query execution time in distributed databases. * Participate in code and design reviews to maintain our high development standards. *...

• Maintaining existing as well as creating new Linux applications on the unmanned aircraft.
• Designing and coordinating interfaces between teams, documenting the architecture and design decisions.

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Technical Leadership and Strategy: Define and drive the technical vision for embedded software projects, including architecture, design, and development standards. Ensure alignment with project goals, technical feasibility, and scalability requirements....

We are looking to recruit, at the earliest possible date, a full-time and permanent SOFTWARE DEVELOPER (M/F/D) FOR SCIENTIFIC APPLICATIONS WITH A FOCUS ON BIG DATA to strengthen our development team at KWS Saat SE & Co. KGaA in Einbeck, Lower Saxony. The role involves replacing an existing...

• Build internal tools and AI-driven features to automate research workflows and accelerate global market research projects
• Implement and extend backend and frontend services using Python, Django, HTMX and JavaScript, including RESTful APIs, data models, and background tasks

• Modern development tools including .NET 8, Visual Studio 2022, Git and Azure DevOps
• Containerization and orchestration with Docker, Kubernetes, Helm, and YAML
• Backend systems built in C#, following a microservice architecture with WebSocket, REST, and RabbitMQ for message-based communication

• scientific research and Development of tools for efficient HPC system operation and monitoring
• research and Development of data-driven and AI-based optimizations for HPC operation
• collect and evaluate requirements for operation software

• Work with Product Managers and UX designers to specify new features and improve our products.
• Develop those new features with the end user in mind, and write unit tests and integration tests for them.
• Lead the definition of the architecture of our applications on AWS.

• defining software architecture for the next generations of lithography systems, driving the progress in the semiconductor industry
• finding the best solutions for embedded control systems, considering modularity and sustainability, hardware limitations and performance specifications

• defining the software architecture for the next generations of lithography systems, driving the progress in the semiconductor industry
• finding the best solutions for embedded control systems, considering modularity and sustainability, hardware limitations and performance specifications

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

• You will take a key role in developing our secure edge platform for real-time data processing applications.
• You will design, implement, and evolve robust, and observable platform components, APIs and SDKs for developing, deploying, and operating real-time applications.