Senior Software Engineer (Infrastructure & Release) | Physical AI / Robotics | Munich

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 factories Make the current software version at any given production station answerable in a single query, and provable against what passed acceptance testing Make releases predictable: every edge deployment a versioned, reproducible release supporting controlled rollout, rollback, and a complete version inventory across customer sites Consolidate infrastructure-as-code into reusable modules so a new customer site can be stood up in days Build 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 properly Make 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 backend Build a replay harness alongside the Lead Software Engineer, turning recorded production streams into regression tests for the full pipeline Work 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 environments Serious experience with a large-scale build system (e.g.

Bazel, Buck) and the appetite to go deep Infrastructure-as-code (e.g. Terraform) on a major cloud provider Deep Docker and Linux, including GPU workloads Production observability — metrics, logging, alerting — with the backup and restore discipline to go with it Secrets management done properly Treats security and privacy as design constraints rather than a later hardening phase Holds the line on versioning and reproducibility under deadline pressure, including from the CTO Eliminates toil permanently rather than working around it, and picks up unfamiliar stacks quickly Nice to have Edge or on-premise fleet experience Streaming media pipelines (e.g.

WebRTC) and their security Device identity / zero-trust architectures Supply-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 ®

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