Personal driver állás, munka

• Deliver software products for telecom carriers in virtualization, containerization, horizontalization, and public cloud scenarios.
• Act as the technical implementation engineer (TE) and be responsible for technical implementation and technical problem handling in the delivery projects.

• Deliver software products for telecom carriers in virtualization, containerization, horizontalization, and public cloud scenarios.
• Act as the technical implementation engineer (TE) and be responsible for technical implementation and technical problem handling in the delivery projects.

We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new foundation models. Our team sets standards for the safe and scalable AI in engineering and production. WHAT AWAITS YOU? * You will architect cloud and hardware solutions to scale AI...

• 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.

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• You'll design, build, and operate the highly available cloud services that our AI features run on.
• Take full end-to-end ownership of deliverables, driving tangible outcomes while mentoring and developing less-experienced engineers.

• Responsible for the creation, review and revision of requirements in a helicopter avionics development process
• Working in the V-Model
• Working in unity with software and test engineers
• Documentation in DOORS

• Capture of customer requirements and formalisation in system requirements
• Refinement of equipment requirements
• Preparation and participation in workshops with stakeholders
• Coordination with and support of software development
• Planning and execution of integration tests

• Architect and implement a robust test data management strategy across environments
• Develop and maintain test environment management frameworks to streamline testing workflows
• Design and integrate automated test data pipelines into existing CI/CD and DevOps processes

• own and evolve the userspace architecture of an embedded Linux system
• contribute hands-on to core components, especially in early project phases
• define stable interfaces and APIs in collaboration with frontend and system teams
• build and mentor the engineering team

• Help Shopify run its planet scale systems by enabling our engineering teams to create resilient systems.
• Build and improve tools to keep our platform resilient and performant.
• Help define what Resiliency and Site Reliability Engineering means for Shopify.

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

• Recording customer requirements and formalising them into system requirements
• Refining device requirements
• Monitoring project status using configuration management tools such as Jira and Confluence
• Preparing for and participating in workshops with stakeholders