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greenhouse

Senior Director, System Engineering & Intelligence, Global

nscale
USA
Senior · 15+ years experience
Onsite
$280,000—$400,000 USD
Discovered 2 weeks ago
sap

Full Job Posting

Nice to Have

  • Knowledge of AI/HPC data centre plant, including liquid cooling, UPS, switchgear, and GPU and fabric telemetry.
  • Familiarity with reliability standards such as RCM, FMEA, ISO 14224, and ISO 55000.
  • Experience with digital twin or CFD-informed modelling.
  • Experience with BIM/COBie handover.
  • Background in energy and grid optimisation.
  • Why this role matters
  • This role turns a fragmented set of systems into a single, trusted source of truth for how Nscale's data centres are built, run, and improved. Success will be measured by:
  • Fewer unplanned incidents, faster detection and diagnosis, and more interventions triggered by prediction rather than alarms.
  • Improved PM compliance, MTTR, and spares fill rate.
  • PUE/WUE gains and stranded capacity recovered.
  • Cohesive analytics views across the data centre landscape.
  • Fewer post-energisation defects and a shorter time from mechanical completion to customer-ready.
  • Less redundant tooling and more critical assets with governed, quality-scored data.
  • Control loops advanced toward autonomy with zero safety-envelope breaches.
  • What We Can Offer You
  • At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
  • Highly competitive package, including base salary and equity, with reviews every 12 months.
  • Join one of the fastest-growing tech startups: your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
  • Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
  • Human-first flexibility. We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
  • Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you wherever you work.
  • Equal Opportunities Statement
  • At Nscale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enrich our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
  • If there's anything we can do to accommodate your specific situation, please let us know.
  • The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.
  • For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: https://drive.google.com/file/d/1QK5Yg04WHD9K9IAtJgQWubJZC9oLvatK/view?usp=sharing
  • Nscale does not accept unsolicited candidate submissions from recruitment agencies.
  • Salary Range$280,000—$400,000 USD
  • For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

Qualifications

  • 15+ years of experience across engineering, asset management, enterprise systems, or industrial analytics, including 7+ years leading cross-functional programmes at director level or above.
  • Ownership of a CMMS/EAM platform at scale (e.g. Maximo, SAP PM, Infor, Nuvolo), plus depth in master data, PIM/PLM, BOM, and configuration management.
  • Proven delivery of analytics or ML on physical infrastructure (data centres, energy, utilities, heavy industry, or similar), including hands-on experience with messy BMS/SCADA/historian data.
  • Experience taking models into control or decision loops, along with the safety, validation, and governance work that requires.
  • Strong judgement on enterprise and data architecture, including ERP, integration, streaming, time-series storage, lineage, and Palantir Foundry or an equivalent platform.
  • Experience with ITIL-aligned operations and controlled MOP, LOTO, and permit-to-work regimes in mission-critical environments.
  • Credibility with both facilities engineers and software teams.
  • A track record of building a function from scratch.
  • Honesty and clarity with executives about uncertainty.

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