Top Software Engineer Jobs in Munich

Build scalable full‑stack features for the Celonis Context Model: design Java Spring Boot microservices, create Angular/TypeScript UIs, improve developer tooling, drive performance for large data, participate in product design, and maintain production systems.

As a Software Engineer in the One Frontend team, you'll develop and optimize frontend systems, enhance CI/CD processes, mentor engineers, and ensure software quality through testing frameworks like Playwright.

Design and ship AI- and algorithm-driven Task Mining features: prototype and productionize LLM/RAG and classical methods, build Python services, scalable data pipelines and ETL, integrate diverse data sources, enforce evaluation and guardrails, and lead end-to-end delivery and mentorship.

Develop production-ready Python libraries for quantum benchmarking and error mitigation. Convert R&D prototypes into scalable tools, validate on real quantum hardware, maintain CI/CD pipelines, and collaborate cross-functionally to ensure software quality and integration with IQM's stack.

Develop and maintain a scalable microservices system for financial transaction processing. Migrate two applications, design and program modules and infrastructure, create automated tests, implement automated deployments, analyze problems within a Scrum team, and provide 3rd-level on-call support.

Work as an intern building software and AI application features for production manufacturing systems. Collaborate with senior engineers to troubleshoot, document, and ship solutions, integrate the platform into customer environments, and translate customer requirements into technical implementations while learning production processes, IT infrastructure, and AI product deployment.

The role involves improving developer workflows and CI/CD infrastructure for automotive systems, optimizing software deployment, and addressing software stack bottlenecks.

Build core Context Model capabilities as a full-stack engineer: design scalable Java/Spring Boot microservices, develop Angular/TypeScript UIs, improve big-data performance, define technical vision, collaborate with product and AI/ML teams, and mentor engineers to deliver enterprise-grade Process Intelligence features.

Design and implement full-stack features for the Context Model including scalable Java Spring Boot microservices and interactive Angular/TypeScript UIs. Lead projects, improve developer workflows, optimize performance for big-data, mentor teammates, collaborate with product and AI teams, and maintain production features.

Integrate, release-test, and deploy Adaptive MICROSAR into customer projects. Consult and support customers on architecture, implementation, and integration. Collaborate with Vector development teams and mixed project teams, deliver trainings and workshops worldwide, and stay current with emerging technologies to provide optimal customer solutions.

Design, develop, test, release and maintain Java/Spring microservices and end-to-end applications. Implement REST APIs, ensure code quality (static analysis, TDD, CI), participate in architecture and design reviews, work in distributed Agile teams, mentor junior engineers, and contribute to frontend work (Angular) and containerization (Docker/ELK) as needed.

As a Senior Software Engineer, you'll develop full stack services for a Local Positioning System, enhance system testing, and lead technical projects.

As a Fullstack Developer, you will design, develop, and improve digital solutions, focusing on backend and frontend technologies, and ensure high software quality through thorough testing.

Design, implement and verify flight software for vehicle modes, state machines, mission sequencing, autonomy and control. Translate system requirements into robust, tested code, maintain simulation and verification environments, integrate algorithms, develop tooling and automation, and diagnose and resolve software defects working with multidisciplinary avionics, GNC and systems teams.

As a Software Engineer, you'll contribute to developing core software components, enhance platform capabilities, and improve performance and reliability in autonomous systems software.

Build and improve developer tooling, CI/CD pipelines, and HIL/SIL validation for automotive embedded software. Optimize build systems, deploy to automotive and cloud platforms, collect deployment data, and remove bottlenecks to increase velocity and reliability.

Build and own end-to-end platform features for a sovereign cloud provider: design, implement, test, and maintain APIs, deployment tooling, IAM, secrets, CI integrations, Web IDE, and monitoring. Conduct code/design reviews, mentor junior engineers, and raise platform quality across distributed systems.

Develop and maintain AuterionOS components for embedded platforms: implement features, drivers, tests, and performance optimizations; provide L3 customer support; document solutions; collaborate across teams for release planning and product deliveries.

As a Software Engineer, you will develop and optimize real-time data pipelines for athlete tracking, ensuring high-performance software solutions for sports analytics.

As a Software Engineer, analyze and process real-time athlete data to enhance performance and reduce injury risks, developing algorithms and optimizing data pipelines.

Develop, test, and maintain software integrations for industrial peripherals (cameras, controllers, ERP, measurement/testing systems) in robot cells. Standardize integration approaches, run projects from proof-of-concept to customer deployment, support field teams remotely or on-site, document solutions, and introduce new technologies to streamline industrial automation deployments.

Own and improve the RustRover debugger across a C++ OS-specific backend (LLDB/GDB) and a Kotlin/Java IntelliJ client. Implement run/debug configs, enhance Rust expression evaluation, diagnose OS-specific C++ crashes, and design maintainable, well-tested debugger code while collaborating with QA and support.

Develop, maintain, and lead software platforms, tools, and infrastructure for regulated computational pathology products. Implement production-quality features, follow V-model regulated development practices, support risk assessments, establish engineering controls and documentation, collaborate cross-functionally, provide technical leadership, and mentor engineers to ensure compliant, traceable, and scalable AI-enabled medical software delivery.

Design, implement, and maintain software platforms, tools, and infrastructure for regulated AI-enabled computational pathology products. Ensure compliance with regulated development practices (V-model), support risk assessments, verification/validation, traceability, and lifecycle documentation. Provide technical leadership, process improvements, and mentorship across multidisciplinary teams to enable scalable, compliant AI software delivery.

Design, maintain, and operate Exoscale's core compute platform and orchestrators. Ensure scalability, reliability, and performance of distributed agents, monitor systems, troubleshoot issues, participate in code reviews, and join on-call rotation after training.