Manager of software engineering állás, munka

• 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

Lead & Sponsor: Recruit, develop, and empower a high-performing forward deployed engineering team; act as executive sponsor on strategic accounts to ensure flawless delivery, customer enablement, and deliver clear business value....

• 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.

• Develop new features (e.g. integrations with other apps, new internal & public API endpoints)
• Enable our application to discover interesting trends and statistics in our data
• Infuse AI into every part of our app (it's already in a lot of places ofc)
• Improve our agent and chatbot

• Investigation, analysis and design of energy and compute load profiles
• Development and testing of a digital twin and integration into the interlinked ecosystems
• Development of forecasting models for load and power profiles
• Drafting of an implementation plan

You will familiarize yourself in detail with the modeling approaches of existing in-house and commercial calculation tools....

• Develop and maintain high-performance software solutions using modern C++ to enable quality assurance in near-production industrial environments
• Collaborate with dynamic and highly motivated agile teams to provide robust workflows for optical, surface, and X-ray metrology

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

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...

We are looking for an Expert DevOps Engineer (f/m/d) within the Sovereign Cloud Delivery & Operations team in the Customer Services & Delivery board area, focused on the Sovereign Cloud deployment of SAP SuccessFactors (HCM). In this role, you will join the Multi-Tenant Engineering team: We own,...

• Work in a cross-functional team with full ownership of the services you develop.
• Enhance platform architecture to support current and future standard processes.
• Contribute to high standards of code quality, robustness, and security.

• Design and implement machine learning models for perception, prediction, and decision-making in autonomous driving systems
• Develop and maintain scalable data pipelines and infrastructure for training and evaluating ML models

Join our team and you'll be responsible for developing robust machine learning models and deploying them at scale, bridging the gap between data science and production-ready systems. Working in the AI Labs Team you will collaborate in an innovative environment where technical excellence is valued,...

• 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

• 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.

• You will take technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• Furthermore, you will independently identify, evaluate, and manage AI-related projects.

• Together with your multi-functional team you fully own the libraries you work on.
• We improve the platform architecture to integrate current and future standard processes.
• You contribute to a high standard of quality, robustness, and security in code and the development process.