Software development engineer állások, munkák it programozás, fejlesztés területen

Design, build, and maintain scalable data platforms and data & AI solutions tailored to business needs, including the development of governance structures and access control concepts...

• Analyze quality, usage, and diagnostic data from customer vehicles in the field
• Identify product issues, usage challenges, and opportunities to improve the customer experience
• Gain insights from various data sources, including vehicle diagnostics, customer complaints, and user behavior data

develop and adapt software models (C/C++ <14) for satellite simulator or other aerospace simulations...

• Coordination of operations together with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain

• Conduct security assessments, including vulnerability scanning, penetration testing, secure code reviews, and reverse engineering of applications and products
• Perform threat modeling and security risk assessments for software, connected devices, and cloud-based service

• Development of advanced technical solutions for infrastructure and services expansion and operation
• Preparation of procedures for the complete life cycle of cloud-native based production environment of packet Core including 5G-SA

• Analyze existing administrative and business processes to identify inefficiencies and automation opportunities.
• Design, develop, and implement workflows using Microsoft Power Automate.
• Collaborate with business teams to gather requirements and translate them into practical solutions.

Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning....

• Adapt the design system to enable accurate prototyping with AI tooling
• Own components, patterns, and usage guidelines from definition to delivery.
• Proactively identify gaps in the enterprise system and translate insights into accessible, inclusive, and scalable solutions.

• Technology architect with T Cloud Public hands-on experience
• Deep expertise in public cloud architecture
• Strong understanding of VPC networking
• Strong understanding of IAM and federation
• Strong understanding of cloud security architecture
• Strong understanding of Kubernetes and container platforms

• Integrációs megoldások tervezése és dokumentálása a legjobb gyakorlatok és vállalati irányelvek mentén
• Integrációs elvek és stratégiák formálása és fenntartása az Integration Architect csapattal együttműködve

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• On-premise IT infrastruktúra üzemeltetése
• On-premise IT infrastruktúra támogatása
• On-premise IT infrastruktúra folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása

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....

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

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

• Work on potential AI and/or digital twin features for future medical devices 
• Design solutions for computer vision problems towards advanced biomedical visualisations 
• Evaluate and refine your approach on real-world data 

• Conducting a comprehensive literature review of state-of-the-art end-to-end autonomous driving approaches and uncertainty estimation methods
• Evaluating and selecting suitable uncertainty estimation techniques for integration into end-to-end autonomous driving systems

• 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