Python programmer állások, munkák rendszertervező kategóriában

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Technical Expertise & Solution Design
• Serve as the technical subject matter expert for DELMIA Apriso and DELMIA Ortems, supporting system configuration, enhancements, integrations, deployments, and ongoing operations.

• CI/CD-folyamatok tervezése, felépítése és üzemeltetése (Azure DevOps, GitLab CI, GitHub Actions vagy Jenkins)
• Infrastruktúra kezelése kód formájában (Terraform, Bicep/ARM, Ansible)
• Konténeres környezetek felépítése és üzemeltetése (Docker, Kubernetes / AKS)

• Discussing and clarifying requirements with our internal domain experts
• Breaking requirements down into manageable work packages, estimating effort, and identifying technical dependencies
• Designing and developing algorithms that span and are optimized across various layers of our software stack

You will take a key role in shaping and designing our edge platform for developing, testing, deploying, and operating real-time applications....

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Developing software for controlling and configuring a large camera system consisting of multiple units
• Developing a system for receiving detector data at high speed on a set of data acquisition PCs, in collaboration with experts in hardware acceleration

• Develop and evaluate concepts for interactive guidance in navigated ENT surgery
• Design and implement proof-of-concept applications for surgical navigation systems
• Apply technologies such as computer vision, augmented reality, machine learning, and human-computer interaction

• Designing and implementing novel human-computer interaction concepts
• Developing prototypes using modern hardware, sensors, and software tools
• Exploring eye-tracking-based interaction techniques and user interfaces
• Conducting user studies and evaluating interaction concepts

• Design and maintain automated pipelines for legacy .NET deployments and modern containerized/Kubernetes workflows
• Automate provisioning and management of infrastructure using Terraform, Ansible, or Bicep

Drive End-to-End Robotics Deployment: As a Chief Expert Robotics, you will lead the technical implementation and architecture of advanced robotic systems by translating complex algorithms into reliable, production-ready hardware and software solutions....

• Create and implement test strategies and concepts for all test levels in embedded, cloud, mobile and web applications
• Improve our development and testing processes, methods and tools, and support the development teams
• Plan, set up and maintain test environments and automation frameworks

Analyze AI computing systems end-to-end: Understand how training and inference workloads run on modern data-center architectures and identify the fundamental bottlenecks in compute, memory, interconnects and energy efficiency....

• An opportunity to build the foundation for next-generation products
• The option to write a master thesis following an internship or working student position
• Hands-on work on intrinsic, extrinsic, and multi-camera calibration for ZEISS use cases

As a Working Student in Sales Data Architecture & Agentic AI (m/f/d/x), you will support the team in analyzing and harmonizing global sales and master data across different markets and systems....

In close collaboration with Process Owners you analyze existing processes, identify AI‑ and agent‑based use cases, and design future‑oriented process solutions by integrating available AI platforms, technologies, agents, data, and knowledge sources....

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency....

• Owning the technical architecture on cloud and platform programmes from design through to production, across AWS and Azure.
• Leading engineering teams on delivery, typically three to eight engineers, through mentoring, code review and technical decision making rather than line management.

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure