Senior Software Engineer - Infrastructure & Release

Senior Software Engineer (Infrastructure & Release) | Physical AI / Robotics | Munich €80,000 - €120,000 (+equity) I’m exclusively representing an early-stage, deep-tech Physical AI company based in Munich that is building technology at the intersection of AI, robotics and industrial automation. The company is developing a new approach to how intelligent machines learn from the physical world - using real-world multimodal data captured from industrial environments to improve how AI systems understand, assist and ultimately automate complex manufacturing processes. Backed by a leading Munich-based deep-tech VC and having recently secured multi-million-dollar seed funding, the company is now moving from successful industrial pilots into the next phase of product development, industrialisation and commercialisation. They are looking to add a Senior Software Engineer (Infrastructure & Release) to their small, highly technical team. The Role Own everything between a merged pull request and verified software running at a customer site — CI/CD, release engineering, infrastructure-as-code, and the fleet of GPU edge machines the system runs on inside factoriesMake the current software version at any given production station answerable in a single query, and provable against what passed acceptance testingMake releases predictable: every edge deployment a versioned, reproducible release supporting controlled rollout, rollback, and a complete version inventory across customer sitesConsolidate infrastructure-as-code into reusable modules so a new customer site can be stood up in daysBuild visibility and resilience into the fleet — metrics, dashboards and alerting that surface a failure before the customer does, backup and disaster recovery with regularly tested restores, and secure remote access implemented properlyMake privacy and security enforceable in the architecture: anonymisation that cannot be bypassed, plus device identity and authentication for real-time streaming connections from the shop floor to the backendBuild a replay harness alongside the Lead Software Engineer, turning recorded production streams into regression tests for the full pipelineWork daily with the Lead Software Engineer and the CTO, with architecture decisions made in the open and a twelve-month mandate rather than a fixed checklist The Candidate CI/CD ownership, including self-hosted or on-premise environmentsSerious experience with a large-scale build system (e.g. Bazel, Buck) and the appetite to go deepInfrastructure-as-code (e.g. Terraform) on a major cloud providerDeep Docker and Linux, including GPU workloadsProduction observability — metrics, logging, alerting — with the backup and restore discipline to go with itSecrets management done properlyTreats security and privacy as design constraints rather than a later hardening phaseHolds the line on versioning and reproducibility under deadline pressure, including from the CTOEliminates toil permanently rather than working around it, and picks up unfamiliar stacks quickly Nice to have Edge or on-premise fleet experienceStreaming media pipelines (e.g. WebRTC) and their securityDevice identity / zero-trust architecturesSupply-chain security (SBOMs, dependency automation)Release engineering at a hardware or embedded company Ability to be on-site in Munich 4 days / week required. If you'd like to explore this opportunity, please send your CV to will.childs@aifutures.group AI Futures Ltd | Filling the AI skills gap ®