{"id":2414566,"url":"https://alion.io/job/neura-robotics-gpu-cluster-engineer-mensch","title":"GPU Cluster Engineer (Mensch)","company":{"id":48149,"name":"NEURA Robotics","domain":"neura-robotics.com","url":"https://alion.io/company/neura-robotics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":154,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riederich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":81000,"max_usd":178000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"Fine-tuning","optional":false},{"name":"HPC","optional":false},{"name":"Kubernetes","optional":false},{"name":"SLURM","optional":false}],"status":"live","first_seen_at":"2026-04-13T07:38:38Z","employer_posted_date":"2026-04-13","last_verified_at":"2026-10-21T20:30:00Z","board_verified":true,"closed_at":null,"days_open":191,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":190},"description":"Deine Mission & Herausforderungen\nDu bist die zentrale Ansprechperson für NEURAs GPU-Cluster-Infrastruktur - ein großskaliges AWS-HyperPod-Setup mit topmodernen GPU-Instanzen für Foundation-Model-Training und kundenspezifische Fine-Tuning-Workloads.\n\nDu entwickelst das Betriebsframework, baust Self-Service-Tools für die ML-Teams und arbeitest direkt mit AWS zusammen, um die Plattform auf Hyperscaler-Ebene mitzugestalten.\n\nDein Fokus liegt voll auf Cluster Engineering & Operations - nicht auf ML-Forschung selbst, sondern darauf, dass die Leute, die forschen, eine extrem stabile, effiziente und leicht zugängliche Infrastruktur haben.\n\nAufsetzen, Konfigurieren und kontinuierliches Weiterentwickeln der HyperPod-Cluster von NEURA, inkl. 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