Top Software Engineer Jobs in Munich

Build and maintain hardened Ubuntu-based container images and the automated CI/CD pipelines to build, test, scan, sign, publish, and retire them. Integrate upstream open-source projects, ensure security and cloud-native compatibility, collaborate with cross-functional teams, document and share knowledge, mentor colleagues, and contribute to hiring. Work in a distributed agile environment with occasional travel.

Build and scale a blockchain data platform handling petabytes of on-chain data. Design and implement distributed systems, data ingestion/decoding pipelines, and performant SQL processing. Write production code (Kotlin, Go, Java, Rust), improve developer experience, automate operations (including AI-driven automation), and own platform components.

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.

Designs, develops, and maintains enterprise software and AI-enabled solutions for engineering, operations, and business functions. Translates stakeholder requirements into technical solutions, modernizes applications using Azure and AI, builds enterprise integrations, and supports the full solution lifecycle. The role develops cloud-native applications, intelligent automation, and decision-support capabilities while ensuring scalability, security, maintainability, and alignment with enterprise architecture. Collaboration with global development teams and business stakeholders is central to successful delivery.

Develop and optimize algorithms for battery and renewable energy projects, analyze market data trends, and ensure algorithm performance.

Own and build the production Android client using Kotlin, integrating AI features (chat, vision, voice), optimizing performance and memory, designing AI UX patterns, implementing analytics/logging, and collaborating with backend and ML engineers to ensure stability, security, and scalability.

As a Backend Software Engineer, you'll design scalable backend systems, optimize database performance, and collaborate with front-end and DevOps teams.

Contribute to Juju's development, collaborate with teams on distributed systems, debug issues, and enhance cloud automation features.

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.

Develop and maintain C++ software for rail‑grade interior and exterior passenger information devices on Linux. Design scalable, maintainable software architectures, tune system performance, support diagnostics, and collaborate with systems, hardware, and test teams to ensure long‑term reliability in mission‑critical rail environments.

The Software Engineer at Helsing will develop AI-based capabilities, maintain software stacks, mentor peers, and collaborate on tech solutions to support mission-critical projects.

Software Engineers at QuantCo will design and develop scalable solutions, integrate models into client businesses, and improve products based on client feedback.

As an Ubuntu Core Software Engineer, you will design and implement features for the embedded Linux operating system, maintain boot mechanisms, debug system-level issues, and collaborate with a global team.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

Design and implement backend trading services, own features end-to-end (schema, API, tests, UI integration), contribute to real-time infrastructure and client-facing APIs, and write integration tests against real dependencies.

Full-stack Developers at QuantCo build user interfaces for machine learning solutions, collaborating with data scientists and engineers to deliver actionable products.

Develop and implement control systems and automation architectures for laser facilities, collaborating with engineers to ensure software stability and safety.

Build and maintain integrations for North's agentic platform, own the end-to-end integration pipeline, create evals and tests to ensure reliability, tune tool descriptions, and help other engineers add and maintain integrations while using AI responsibly to improve performance and quality.

Build and scale the platform, integrations, and AI pipelines that run agent-driven workflows for industrial customers. Own backend services, APIs, enterprise connectors (SAP/Salesforce/PLM), CI/CD, observability, and high-throughput ETL to ensure reliability at industrial scale.

Build and own end-to-end backend systems for forecasting and agentic LLM research: design, deploy, monitor, debug, and harden features and pipelines (benchmarks, agents, production services). Prototype quickly, work with LLM APIs and coding agents, and collaborate with researchers to improve evaluation and forecasting tools.

Design, build, and lead development of AppGlass features; develop AI-first tooling and automation; implement enterprise integrations and deployments across Kubernetes and cloud; and improve reliability, testing, performance, and security for production use.

Design and develop scalable web architectures using Next.js, Node.js, AWS, microservices, NoSQL, and event-driven systems. Own solution architecture and feature delivery while improving performance, security, scalability, modularity, and operational efficiency. Build reusable libraries, contribute to product roadmaps, share technical knowledge, and promote effective communication and collaboration across the engineering team.