Embedded software developer ai állás, munka

• Develop and implement generative AI models for design optimization
• Integrate AI algorithms with Finite Element Method (FEM) and other simulation tools
• Analyze simulation results and propose design improvements
• Collaborate with engineers to automate optimization workflows

• Translate business needs into data and product requirements, prioritizing features based on impact and feasibility.
• Execute the roadmap for data generation, data science, and AI projects aligned with the digital R&D strategy.

Application Development & Architecture: Design, implement, and maintain modern web and mobile applications using frameworks like Angular, .NET, and MAUI. Build cloud-native solutions that are scalable, maintainable, and aligned with microservices, event-driven architectures, and API-first...

Product vision: Drive the vision of your products and understand how it is embedded in the overall product and corporate strategy, with particular focus on identifying opportunities that can transform user experiences and create competitive advantages. ...

Conduct regular pre-sales activities with potential customers and/or business partners, presenting technical materials of DRAM products, including core technical parameters such as storage density, read-write speed, power consumption control, and compatibility.​...

• Develop and maintain a proprietary trading system within a high-performance crypto finance environment.
• Implement technical specifications end-to-end, covering both backend Python components and frontend interfaces.

• Assess processes to identify improvement and automation opportunities.
• Collaborate with stakeholders and cross-functional teams to define actionable solutions.
• Define the needs for application and data landscape to enable automation and AI integration.

• Own and optimize the end-to-end service delivery of Microsoft Copilot across M365 applications (Outlook, Teams, SharePoint, Word, Excel, Loop, Copilot Agents)
• Drive adoption and usability improvements by collaborating with internal stakeholders and Microsoft product teams

• Support in developing a clear product vision for smart factory solutions (e.g. automation, IoT, digital twins)
• Alignment with company goals and stakeholders from production, IT and operations management
• Creation, prioritization and maintenance of the product backlog