Software development engineer állások II. kerületben (it programozás, fejlesztés)

• Support Transmission System Operators (TSOs) And Distribution System Operators (DSOs) In Planning The Power Grid Of The Future
• Work Directly With Clients As Part Of International Consulting Project Teams
• Perform Power System Analyses (Power Flow, Voltage, Short‑Circuit, N‑1, Redispatch)

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions for computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Data Science projects delivery with end-to-end product-oriented mindset
• Client engagement to understand business objectives and translate into technical requirements
• Pre-sales technical discussions leadership
• Collaboration with cross-functional teams for AI/ML solution integration

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Developing highly scalable services realizing AI/ML functionalities

• AWS-based cloud architecture design and technical decision making for SaaS, PaaS, web application, and enterprise cloud environments
• Infrastructure as Code solution design and implementation using Terraform, AWS CloudFormation, or Pulumi

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• System IP Microarchitecture Specification And Design Contribution
• Verification, Modelling And Debug In SystemVerilog, C And C++
• Proposal And Prototyping Of New Methodologies
• Verification Plans And Environments Ownership And Development

• Research, development, implementation, and testing of artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs, and drivable trajectories

Working directly with customers and project teams providing technical expertise on Veeva’s applications, Vault Platform, APIs, and Java SDK Developing custom code and configuring Veeva software Contributing to solution design under guidance of experienced technical and migration architects...

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Design, build, and operate system-level infrastructure for autonomous test vehicles
• Take end-to-end responsibility for components, OS provisioning, deployment and runtime behavior
• Debug complex issues across Linux systems, networking and hardware components

• Architecture design of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications
• Integration and deployment of market data initiatives
• Coordination and collaboration with internal OneMSCI stakeholders

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Collaboration with the Architect in design discussions and proposals
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)

• Cooperation with software teams to establish and implement quality processes at every stage of the development cycle
• Development of automated test cases for firmware and Linux-based systems including bootloaders, kernel, device drivers and applications

• Contribution to Customer Platform team development
• Delivery of high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability
• Design and implementation of client and database-related application features

• Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Design, implement, and evolve platform architecture processes and their integration with connected enterprise systems
• Develop, enhance, and maintain automation modules and frameworks primarily using PowerShell and C#

• Ownership and evolution of 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 for test generation and failure triage

• Data exploration, profiling, cleansing, and preprocessing for high-quality datasets
• Design and management of workflows for storing and retrieving vectorised documents
• Application of embedding models to build AI-driven solutions

• Ownership of quality and test strategy for critical backend services, APIs, and data flows
• Design, implementation, and maintenance of automated test suites in Python covering API, integration, and service-level testing