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Principal Deployment Engineer

Nscale
San Francisco, CA

Quick Apply

Job Details

$175,000 - $225,000 a year

Qualifications

Network topology design
Data center experience
High-performance computing clusters
System performance optimization
Scalable systems
Scalability
Distributed computing
Debugging

Full Job Description

Principal Deployment Engineer – GPU Supercluster Bringup

About Us

We are building AI infrastructure for frontier-scale workloads. Our platform is designed for high-density, high-performance GPU clusters that push the limits of power, networking, and distributed compute.

As a startup, we move fast, operate with ownership, and expect technical leaders to define standards—not just follow them.

The Role

We are hiring a Principal Deployment Engineer to architect and lead the bringup of large-scale GPU clusters (hundreds to thousands of GPUs). This is a technical leadership role responsible for defining how we deploy, validate, and scale AI superclusters across sites.

You will own the full lifecycle of deployment—from rack design and fabric architecture to cluster validation frameworks and production readiness standards. You will set the bar for performance, reliability, and operational excellence.

This role combines deep hands-on expertise with system-level thinking and cross-functional leadership.

What You'll Do

End-to-End Supercluster Bringup Ownership

Define the technical standards for node, rack, and full-cluster bringup.

Performance & Fabric Architecture

Tune and validate NCCL, RDMA, GPUDirect, and collective operations at scale.

Deployment Strategy & Scalability

Design repeatable deployment models for multi-site expansion.

Technical Leadership

Serve as the escalation point for complex bringup and performance issues.

What We're Looking For

Required

10+ years of experience in large-scale infrastructure or HPC environments.

Strongly Preferred

Experience scaling AI training clusters for frontier models.

What Success Looks Like

Superclusters are brought online quickly, predictably, and at peak performance.

You define the technical blueprint for how we scale AI infrastructure.

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

Quick Apply

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