
201 - 500 employees
Founded 2024
💼 Consulting
📦 Logistics
🏭 Manufacturing
💰 $433M Series C - Nscale on 2025-09
Consulting • Logistics • Manufacturing
Nscale is a full‑stack AI infrastructure company that provides GPU-powered cloud and on-premise capacity, sovereign and sustainable data centers, and managed platform services for large-scale model training, fine-tuning, and inference. It offers bare-metal and VM instances, managed Kubernetes and Slurm orchestration, high-throughput storage and low-latency networking, plus fleet operations, observability, and APIs for real-time GPU resource governance. Nscale serves enterprise AI teams and labs with modular, multi-megawatt data center deployments and turnkey AI-native services to accelerate R&D and production at scale.
🔥 31 minutes ago
🤠 Texas – Remote
💵 $130k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛑ DevOps & Site Reliability Engineer (SRE)
👻 Ghost score 0%
Where this job comes from
Posted on Nscale's careers page, not through a job board
First seen by Remote Rocketship 31 minutes ago

201 - 500 employees
Founded 2024
💼 Consulting
📦 Logistics
🏭 Manufacturing
💰 $433M Series C - Nscale on 2025-09
Consulting • Logistics • Manufacturing
Nscale is a full‑stack AI infrastructure company that provides GPU-powered cloud and on-premise capacity, sovereign and sustainable data centers, and managed platform services for large-scale model training, fine-tuning, and inference. It offers bare-metal and VM instances, managed Kubernetes and Slurm orchestration, high-throughput storage and low-latency networking, plus fleet operations, observability, and APIs for real-time GPU resource governance. Nscale serves enterprise AI teams and labs with modular, multi-megawatt data center deployments and turnkey AI-native services to accelerate R&D and production at scale.
• Own the availability model of record for each generation campus across generation, electrical distribution, fuel supply, and cooling • Allocate committed SLA targets through systems, including availability budgets, redundancy requirements, MTTR assumptions, sparing, and maintenance strategies • Apply Monte Carlo simulation or closed-form analytical models as appropriate and defend the methodology • Identify common-mode and dependent failures, including shared fuel, cooling, controls, and site-wide events • Report single-path and contracted-capacity availability views with sensitivity analysis • Own the FMEA/FMECA program for engines, generators, BESS, switchgear, transformers, fuel gas systems, and cooling infrastructure • Curate failure-rate and repair data from IEEE 493, OREDA, OEM sources, and field data • Influence redundancy configuration, single-point-of-failure treatment, equipment selection, testability, and maintainability requirements • Integrate reliability analysis into design reviews, HAZOPs, and vendor evaluations • Own the reliability core of Nscale’s digital twin, including model architecture, data structures, and analytical methods • Define operational data requirements for event capture, failure coding, downtime attribution, and run-hour tracking • Work with software and data teams to create instrumented, queryable, automatable, and auditable RAM tooling • Establish feedback loops between measured availability and model predictions, including recalibration and reliability-growth tracking • Support commissioning and startup through burn-in and reliability-run design, failure tracking, and model-based acceptance criteria • Lead or support root-cause analyses and drive corrective actions into designs, models, and standards • Develop reliability engineering standards, methods, and reference models • Direct RAM and reliability consultants and challenge their methodologies and deliverables • Coordinate with reliability, operations, commissioning, electrical, controls, mechanical, and pipeline engineering teams • Build internal reliability engineering capability and communicate analysis, confidence, sensitivity, and risk to leadership and executives
• 5+ years of reliability engineering experience on power generation, process, or mission-critical facilities, including significant ownership of RAM analysis for large, redundant systems • Deep RAM modeling capability using discrete-event simulation (BlockSim, Raptor, or equivalent) and closed-form analytical methods • Proven FMEA/FMECA leadership on major rotating, electrical, or process equipment • Fluency with IEEE 493, OREDA, IEEE 3006 series, or similar failure data sources and their limitations • Experience allocating availability targets from commercial commitments to systems and defending analysis to executives, customers, or insurers • Knowledge of common-mode and dependent failure mechanisms • Python or similar scripting capability and reliability-data structuring for automation • Experience integrating reliability analysis into live design processes on major capital projects • Ability to run a scope with minimal oversight • Exposure to digital twin, telemetry-driven reliability, or operational availability measurement programs is a strong advantage • CRE certification or equivalent is an advantage • Bachelor's degree in Mechanical, Electrical, Chemical, Reliability Engineering, or related field • PE license or CRE preferred • Willing and able to travel regularly to project sites and vendor facilities, typically 15–25% and higher during commissioning campaigns
• Highly competitive US compensation package including bonus and equity eligibility • Performance reviews every 12 months • Comprehensive medical, dental, and vision coverage • 401(k) retirement plan with company match • Generous PTO plus US federal holidays • Flexible workplace and autonomy • Flexible paid time off • Parental leave • Retirement plan participation • Career-defining opportunity as an early member of a rapidly growing AI infrastructure company
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