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• Design process of a SoC by integrating the latest Arm IP products
• Development of RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug
• Identifying and fixing bugs

• SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks
• Collaboration with engineers across design, performance modelling, validation, and implementation to meet functional requirements, performance, power and area goals

• Implementation of transformation projects across sectors
• Independent management of workstreams with support from Delivery or Engagement Manager
• Collaboration with McKinsey colleagues and client teams
• Leadership of junior consultants and clients in projects or workstreams

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Design and configure Master Batch Records within Rockwell PharmaSuite
• Translate manufacturing process requirements into compliant MES design solutions
• Ensure adherence to global templates, design principles, and regulatory requirements

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Ownership and evolution of Tulip’s Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools to accelerate test generation and triage failures

• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug to achieve required quality levels
• Proposal and prototyping of new ways and definition of methodologies to reach goals more efficiently

Architecture & Infrastructure: Set standards for infrastructure, access, and deployment with IT, security, and the ML & AI engineers. Build all AI platform components with Terraform on top of the AWS foundation and GitLab setup of our cloud engineering team....

• Write clean, typed and tested code, and follow shared standards and code reviews.
• Build LLM- and agent-based features with Azure OpenAI and AutoGen, including document processing and RAG.
• Implement tests and monitoring setups for AI quality using pytest and DeepEval.

• Write clean, typed and tested code, and follow shared standards and code reviews.
• Build LLM- and agent-based features with Azure OpenAI and AutoGen, including document processing and RAG.
• Implement tests and monitoring setups for AI quality using pytest and DeepEval.

• Work the queue of open support tickets alongside a mentor
• Investigate and diagnose reported technical issues
• Search internal knowledge systems to find solutions before escalating
• Escalate complex cases to senior engineers with clear troubleshooting notes

• Development and operation of the product in an engineering team
• Production deployments
• Cloud automation
• Monitoring and alerting
• Incident management and post-incident analysis
• Identification and troubleshooting of platform issues

• Design and implementation of complex enterprise-grade software solutions
• Definition and evolution of application, data, and integration architectures
• Design and architecture of service-oriented and event-driven systems
• Development of distributed, resilient, and highly available platforms

• Taking care of the day-to-day operation, maintenance, and continuous improvement of our SAP SuccessFactors environment, with a focus on Employee Central, Learning, and Performance & Goals
• Working closely with the SAP SuccessFactors team and gradually building expertise across additional modules

Technology due diligence: Lead assessments of technology landscapes, applications, infrastructure, cloud, data, cybersecurity, operating models and technology spend to identify deal-relevant risks and opportunities....

• Facilitation and leadership of strategic initiatives for a defined customer or user
• Management and guidance of multi-functional project teams
• Management and enhancement of customer relationships

• Contribute to strategic projects within the Sales & Customer Unit and take responsibility for specific project management tasks
• Support the planning and coordination of product management activities for our groundbreaking MB.OS across all vehicle car lines

• Coordinate and track technical risks across an application portfolio, ensuring clear priorities, ownership and follow-through.
• Assess risks affecting applications, cloud platforms and operational processes.

• Ownership of vision, strategy, and roadmap for MetaDefender Cloud
• Accountability for growth, adoption, and commercial outcomes
• Management of contractual SLAs including latency, availability, and recovery objectives
• Driving high availability, automatic failover, and multi-region resilience