Top Software Engineer Jobs in Munich

Design, develop, test, document, and troubleshoot complex software for semiconductor equipment components. Responsibilities include defining software specifications and test plans, implementing bug fixes, analyzing requirements, communicating with customers, and supporting simulators, test benches, and laboratory environments.

Designs and operates distributed database systems across query execution, transaction processing, durable storage, concurrency, replication, recovery, and upgrades. Responsibilities include improving database performance, building deterministic failure simulations, managing stateful rollouts, participating in on-call response, leading production changes and investigations, and mentoring engineers. The role requires deep systems expertise and experience operating correctness-sensitive stateful services in production.

Build and operate business-critical clearing and settlement services using Kotlin, Java, and Spring Boot. Design distributed, event-driven cloud applications on AWS using ECS and Lambda, while implementing CI/CD, infrastructure as code, observability, automated testing, and secure production operations. Work in autonomous agile teams using Domain-Driven Design, own services from concept through production, and improve engineering quality, reliability, and developer experience within complex financial workflows.

Develop and optimize software for Linux-based embedded rail IoT devices and passenger information displays. Diagnose complex interactions across software, hardware, embedded platforms, and networks; improve reliability, performance, and maintainability; and support customer projects. Collaborate with systems, hardware, and test engineering teams while evaluating technologies and using AI-supported tools to improve troubleshooting and engineering efficiency.

Join a cross-functional team developing and expanding Scalable Capital’s new fintech product. Responsibilities include building and operating a digital brokerage platform using modern software practices such as agile development, continuous integration and deployment, test automation, cloud infrastructure, and potentially distributed or microservice architectures. The role requires analytical problem-solving, clear communication, and a commitment to well-architected, testable, and documented code. Based in Berlin or Munich.

Design and build Go services for Telnyx’s serverless platform, function deployment pipeline, global control plane, and edge infrastructure. Own backend APIs, resource lifecycles, workload deployment, asynchronous workflows, observability, and reliability. Work with Kubernetes, distributed systems, relational databases, and multi-region services. Improve developer experience through APIs, CLI tooling, and clear error handling, while participating in on-call and diagnosing production performance and reliability issues.

Build and own a property management software platform across frontend, backend, infrastructure, architecture, and product discovery. Responsibilities include understanding user needs, designing data models and APIs, developing core features, migrating acquired companies onto the platform, evaluating AI coding-agent output, and collaborating directly with the technical founder. The role requires full-stack SaaS development, architectural judgment, comfort with ambiguity, and cross-functional ownership.

Install, commission, integrate, and improve robotic automation systems at customer factories, primarily across the DACH region. Responsibilities include application engineering, factory integration, CAD design, hardware assembly and wiring, component sourcing, testing, acceptance, operator training, troubleshooting, and field feedback to product and machine-learning teams. The role requires approximately 60% travel, strong cross-disciplinary engineering skills, German and English fluency, and hands-on experience with robots or automation systems.

Coordinate software releases for autonomous robotics systems, maintain configuration and hardware-software compatibility, contribute to ROS2 and C++ development, and support CI/CD, automated builds, deployment workflows, documentation, and release risk management. The role collaborates across software, hardware, QA, and deployment teams to deliver stable, reproducible releases.

Develop system-level software, firmware, tools, and tests for high-performance AI inference platforms. Responsibilities include Linux kernel and driver development, bootloader and BSP work, hardware and silicon bring-up, debugging, profiling, performance and power optimization, and low-level interface integration. The engineer will collaborate with hardware, validation, and silicon teams to deliver production-quality software and support platform deployment in data centers.

Design, build, operate, and maintain scalable distributed systems supporting CrowdStrike’s Intelligence pipelines. Gather requirements from analysts, develop processing and data integration systems, make autonomous architecture decisions, maintain Go and Python codebases, deploy production services, document solutions, train users, and communicate technical details effectively. The role requires independent execution in a geographically distributed team and includes opportunities to work with cloud platforms, APIs, web interfaces, malware analysis, and AI technologies.

Develop and maintain SIL and HIL systems, automated test tooling, simulation environments, and CI-integrated test suites for safety- and security-critical embedded systems. Create verification strategies, fault-injection and fuzzing harnesses, timing analyses, metrics, and traceable evidence for regulated defence products. Collaborate with software, hardware, and systems engineers while serving as the technical point of contact for embedded testing.

Develop and maintain business-critical financial services using Kotlin, Java, and Spring Boot. Collaborate with cross-functional teams while learning Domain-Driven Design, agile practices, testing, CI/CD, AWS cloud-native development, containerized services, event-driven workloads, infrastructure as code, observability, and secure software delivery. Contribute to resilient, compliant production workflows and continuous improvement with guidance from experienced engineers.

Lead hands-on engineering engagements with strategic enterprise customers to diagnose and resolve complex Windows deployment, management, update, application, performance, reliability, and security issues. Develop scripts, automation, tools, prototypes, and reusable solutions; collaborate with Windows and Intune engineering teams on product improvements; and translate customer-specific resolutions into scalable guidance, playbooks, and technical products.

Architect and deploy multimodal 2D/3D object detection systems using camera, LiDAR, and radar. Build data collection, evaluation, and proprietary dataset pipelines; train, monitor, and improve production perception models; develop the perception roadmap; and mentor junior engineers. The role requires end-to-end perception stack experience, cross-functional leadership, Python proficiency, and advanced education in computer science, robotics, or deep learning.

Build and own the engineering systems that enable safe, efficient coding-agent development. Responsibilities include creating agent harnesses, improving repository usability, automating testing and verification, supporting CI and disposable environments, designing human approval gates, optimizing merge-request handoffs, tracking engineering productivity metrics, and scaling effective AI workflows across the organization. The role requires strong production software engineering judgment, deep coding-agent experience, and the ability to review architecture and code critically.

Build and own the production AI agent platform powering TradeLink’s logistics products. Develop runtime capabilities for agent context, tools, state, memory, retries, permissions, approvals, audit trails, evaluations, observability, and integrations. Establish safe boundaries between deterministic logic and model-driven decisions, convert customer workflows into reusable platform features, and write substantial production code while improving reliability and debugging agent behavior.

Design and build flight simulation environments connecting simulators with autonomy and onboard software. Develop plugins, interfaces, and bridges for realistic flight behavior, sensor data, and mission scenarios. Enable software-in-the-loop and hardware-in-the-loop testing for GNC, embedded, and autonomy teams. Own simulation architecture, engineering quality, testing, debugging, code reviews, and collaboration across teams.

Build and operate full-stack systems for an AI-powered offensive security platform. Responsibilities include developing React frontends, TypeScript APIs, Kotlin and Go backend services, deploying on AWS, designing scalable systems, optimizing databases, supporting production, and owning features from concept through deployment. The role involves close collaboration with AI and security researchers in a fast-paced remote startup.

Integrate and productionize NVIDIA DRIVE active safety software on customer vehicles. Diagnose system-level issues across sensors, perception, fusion, planning, and vehicle integration; configure and tune software; implement C++ or Python adaptations; analyze recorded data; conduct vehicle testing and validation; and coordinate root-cause resolution with global customer and engineering teams.

Senior software solutions engineer responsible for resolving complex Ethernet and InfiniBand adapter/DPU issues, developing tooling and features, collaborating with customers and engineering, and improving reliability and experience of NVIDIA networking products. Role mixes 50% customer support/issue ownership and 50% R&D.

Lead development and production operation of distributed microservices supporting analytical query engines. Evolve a premium query engine, deliver migration milestones, analyze customer workloads, build operational tooling, and maintain security and reliability across large-scale systems. The role requires Java and Python expertise, distributed data-intensive systems experience, asynchronous programming, fleet-wide deployments, and production ownership.

Develop and optimize a highly parallelized, distributed process query engine using modern C++ and Java. Design data-management and query-execution algorithms, benchmark performance, improve scalability and reliability, support production systems, mentor engineers, lead projects, and define technical roadmaps while collaborating with stakeholders and customers.

Develop and integrate the full UAV avionics stack, including firmware, component selection, communication architecture, autonomy systems, flight controls, GCS plugins, and multi-vehicle coordination. Build and test hardware in simulation and flight, troubleshoot system communications, document requirements and tuning procedures, and support hardware-in-the-loop and environmental validation. The role requires strong PX4, ArduPilot, QGC, low-level UAV, and avionics integration expertise.

Own the design, development, and delivery of complex ERP features, backend services, APIs, data models, and user-facing functionality. Ensure reliability, performance, data integrity, and maintainability across production systems. Collaborate with Product and engineering teams, lead incident resolution, conduct code reviews, improve testing and monitoring, and mentor intermediate developers. Contribute to architecture, technical planning, hiring, and safe deployment practices including feature flags, incremental rollouts, and data migrations.