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

Das ist der Job

Bazel, Buck) and the appetite to go deep • Infrastructure-as-code (e.g.

Darum lohnt es sich

They are looking to add a Senior Software Engineer (Infrastructure & Release) to their small, highly technical team.

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.

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.

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 ®