Top Software Engineer Jobs in Budapest

You will develop, maintain, and test high-quality products for mobile packet switching, specializing in C coding and IP protocols.

As a Software Engineer II, you will collaborate on back office processes, create applications for operations and finance, own key initiatives, and troubleshoot production issues.

As a Backend Engineer, you will build and maintain scalable backend systems, work on significant development tasks, and collaborate with teams to enhance the Wise platform while ensuring code quality and stability.

The position is for a Software Engineer to assist in various development tasks within a hybrid work environment, requiring in-office presence.

The Frameworks Software Engineer will build complex backend solutions, maintain code quality, architect abstractions, and collaborate with engineering and product teams.

As a Software Engineer in Backend, you will develop a global money transfer product using Swift, Java, and other technologies focusing on scale and efficiency.

Join the Fraud Handling team to automate fraud investigations, improve tooling, and optimize workflows, focusing on customer experience.

Develop, maintain, and support the Tulip OS for embedded hardware, collaborating with product management and technical teams to enhance product performance and features.

As a Lead Software Developer, you will design and build high-quality software solutions, lead agile ceremonies, and collaborate across teams to optimize network rollout processes.

The AI Software Developer will create AI-driven applications, collaborate with teams, analyze requirements, and design scalable products to solve real-world problems.

The Software Engineer will develop features for Cloudera's Data Engineering Experience, contribute to Apache Spark, and address challenges in large-scale distributed systems.

Join Arista Networks as a Software Engineer working on EOS software, focused on developing features for data center networking, debugging, and mentoring. Responsibilities include writing specifications, implementing solutions, and collaborating with customer support.

The role involves designing and implementing cloud-native Java applications, conducting code reviews, mentoring juniors, and collaborating with teams for project delivery.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

As a FullStack Developer, you will design and develop web applications, contributing to both frontend and backend components while ensuring performance and usability.

The Software Engineer will develop new features, design and implement code, and collaborate with customers, requiring strong C/C++ skills and 3+ years of experience.

The role involves developing full stack cloud applications using .NET and React, ensuring code quality, collaborating with teams, and supporting CI/CD processes.

As a Software Engineer, you'll develop features, conduct automated testing, ensure quality standards, and collaborate on medical applications in a global Agile team.

Design and develop proprietary trading tools. Collaborate with teams, optimize performance, mentor junior engineers, and troubleshoot issues.

As a Senior Backend Software Engineer at Genesys, you will design and develop scalable software for cloud-native applications, mentor team members, and contribute to system architecture.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.