About Nscale
At Nscale, we are building the infrastructure for the AI revolution. Nscale is developing cutting-edge, sovereign generative AI solutions powered by a new generation of high-performance, sustainable data centers and GPUs built specifically for AI workloads.
The rapid growth of artificial intelligence is driving unprecedented global demand for compute and GPU infrastructure. Positioned at the heart of this transformation, Nscale is delivering the platforms that will enable the next decade of innovation.
Working closely with the world's most advanced AI technology providers — including Microsoft and NVIDIA — Nscale integrates next-generation compute hardware and GPU clusters across both partner and self-delivered facilities. This is a unique opportunity to join Nscale's journey, play a pivotal role in delivering transformative AI infrastructure, and help shape a company designed to scale rapidly across North America, Europe, and beyond.
About the Role
We are hiring a Design Reliability Engineer to own the analysis that proves our systems will hit their availability targets, and the discipline that makes those numbers real.
Nscale's Power and Energy group develops behind-the-meter generation colocated with our data center campuses: fleets of hundreds of reciprocating engines, battery energy storage, and medium- and high-voltage distribution operating as islanded microgrids, serving loads with contractual availability commitments measured at the GPU. At this scale and redundancy, availability is not a brochure number. It is an engineered quantity: allocated from committed SLAs down to systems and equipment, modeled with rigor, defended against common-mode risks, and eventually measured live against the models that predicted it. This role owns that quantity, end to end, across power and mechanical scopes together rather than in silos.
This is a hands-on technical leadership role built for someone who runs with minimal oversight. You will own the availability model of record for each campus, the FMEA program across major equipment, and the reliability foundations of our digital twin: the living, data-fed model that will carry RAM analysis from design studies into day-to-day operations. You will direct the RAM consultants and reliability data work supporting the portfolio, challenge methodology on its merits, and put analysis in front of executives that they can bet commercial commitments on.
You will sit within the Power and Energy technology organization, working alongside the electrical, controls, mechanical, and pipeline engineering managers whose designs your models test, and with the commissioning and operations teams whose data will eventually close the loop. You will be the owner's technical authority on reliability, directing the work of consultants rather than simply accepting it, and resolving the questions where textbook RAM practice does not account for a system this large, this redundant, or this consequential.
Location: Houston, TX (remote considered within the US, with regular site and vendor travel)
What You'll Be Doing
RAM modeling and availability assurance
Own the availability model of record for each generation campus: system-level RAM models spanning generation, electrical distribution, fuel supply, and cooling, built and maintained as living engineering assets.
Allocate committed SLA targets down through the system: availability budgets by subsystem, redundancy requirements, MTTR assumptions, and sparing and maintenance strategies that make the top-level number achievable.
Apply the right method for each question — Monte Carlo simulation (BlockSim or equivalent) where it earns its complexity, closed-form analytical models where they are faster and more auditable — and defend the choice on its merits.
Hunt common-mode and dependent failures relentlessly: shared fuel supply, shared cooling, control system dependencies, and site-wide events that redundancy counts conceal.
Report availability the way…