Application ai developer állás, munka

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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,...

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps...

• 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.

Design and develop firmware for industrial mobile communication devices within an embedded Linux (OpenWrt) ecosystem Embed packages and protocols into the firmware Scriptwriting Onboard new modems into the system Innovate and enhance web-based admin interfaces...

• 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.

Munkakörhöz tartozó feladatok ellátása....

• 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.

• verify mixed-signal designs on block and system level resting upon formal and functional verification
• interpret product requirements to create the verification concept and the product verification specification
• perform random-constraint testbenches according to the state of the art

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)