Senior Director System Engineering and Intelligence Global
Nscale is a London-based, full-stack AI cloud and infrastructure company that provides GPU compute, managed AI services, orchestration software, data centers, and power infrastructure for AI training, fine-tuning, and inference.
Maintainer signals as of 9/25/2026
Funding history
About Nscale
Nscale builds and operates vertically integrated AI infrastructure spanning software, GPU compute, networking, storage, purpose-built data centers, and power. Its active cloud platform offers self-service inference endpoints, fine-tuning, managed Kubernetes and Slurm, virtual machines, and GPU clusters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will set the roadmap for operational systems, establish asset-data governance, build telemetry and analytics foundations, improve maintenance reliability, advance automation safely, quantify site readiness, manage cross-functional escalations, and develop engineering, data science, and data engineering capabilities.
Requirements
- 15+ years of experience across engineering, asset management, enterprise systems, or industrial analytics
- 7+ years leading cross-functional programs at director level or above
- CMMS or EAM platform ownership at scale
- Master data, PIM, PLM, BOM, and configuration management
- Analytics or machine learning delivery for physical infrastructure
- BMS, SCADA, or historian data experience
- Enterprise and data architecture
- ERP
- Integration
- Streaming
- Time-series storage
- Data lineage
- Palantir Foundry or equivalent
- ITIL-aligned operations
- MOP, LOTO, and permit-to-work regimes
- Experience building a function from scratch
Responsibilities
- Own a multi-year roadmap and investment portfolio for operational systems and data platforms
- Establish asset identities, taxonomy, hierarchy, configuration, and BOM standards
- Lead data cleansing and validation-at-source programs
- Deliver unified asset and topology models with OT and IT data ingestion
- Publish data-quality scores and shared operational definitions
- Own CMMS or EAM configuration, maintenance strategies, and controlled operating procedures
- Map condition data to assets and automate predictive-maintenance work orders
- Build anomaly detection, remaining-useful-life prediction, and thermal and power optimization
- Advance operational control loops through approved autonomy stages
- Turn commissioning and handover into measurable site-readiness gates
- Manage supplier data deliverables and senior cross-functional escalations
- Build and develop lifecycle engineering, data science, and data engineering functions
Benefits
- Equity
- Performance reviews every 12 months
- Flexible work arrangements
- Medical coverage
- Dental coverage
- Vision coverage
- Flexible paid time off
- Parental leave
- Retirement plan participation