Fleet Operations Engineer

Ornn AI, Inc.; New York (NY); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Health coverage

Free meals

Leadership role with equity upside

Job summary

Ornn is hiring a Fleet Operations Engineer to stand up, debug, and secure systems that get GPUs into production. You will build low-level infrastructure across Linux, from bare metal to VMs and orchestration, and manage GPU compute with Kubernetes and Slurm.

You will write production-grade Python, contribute to Rust services, and secure the node fleet with segmentation, firewalls, and access control. This leadership role offers meaningful equity and growth opportunities.

Qualifications

• Strong low-level systems fundamentals, OS internals, performance, and debugging.
• Excellent in Python.
• Deep familiarity with Linux environments.
• Effective communicator and independent problem solver.
• Interest in AI hardware: GPUs and accelerators.

Responsibilities

• Build and operate low‑level systems infrastructure across Linux environments, from bare metal to VMs to orchestration.
• Provision and manage virtualized GPU compute (KVM/QEMU, GPU passthrough) alongside Kubernetes and Slurm workloads.
• Write production-grade Python daily and contribute to Rust services.
• Secure the node fleet with network segmentation, firewalls, access control, and secure-by-default configuration.
• Own problems end to end in a fast-paced environment with minimal hand-holding.

Skills

Low‑level systems

Python

Linux

Communication

Problem solving

AI hardware

Tools

KVM/QEMU

Hypervisors

VM lifecycle

VPNs

Zero-trust

Firewalls

Job description

About Ornn

Ornn is building the financial infrastructure for AI compute. Our price indices are live on Bloomberg Terminal. We structure and trade compute hedging instruments. And we're now building a platform that brings exchange-grade mechanics like order management, matching, scheduling, and settlement to how compute capacity gets reserved and allocated. We're a lean team in New York, backed by leading venture and strategic investors.

About the Role

We're hiring a Fleet Operations Engineer to stand up, debug, and secure the systems that get GPUs into production.

What You'll Do

Build and operate low-level systems infrastructure across Linux environments, from bare metal to VMs to orchestration.

Provision and manage virtualized GPU compute (KVM/QEMU, GPU passthrough) alongside Kubernetes and Slurm workloads.

Write production-grade Python daily and contribute to Rust services.

Secure the node fleet with network segmentation, firewalls, access control, and secure-by-default configuration.

Own problems end to end in a fast-paced environment with minimal hand-holding.

What We're Looking For

Requirements

• Strong low-level systems fundamentals, including OS internals, performance, and debugging.


• Excellent in Python.


• Deep familiarity with Linux environments.


• Effective communicator and independent problem solver. You will interface with customers, operators, and internal teams.


• A genuine interest in AI hardware: GPUs, accelerators, and the systems that feed them.

Nice-to-Haves

Virtualization experience: KVM/QEMU, hypervisors, VM lifecycle management.

Network security experience: hardening exposed nodes, VPNs and zero-trust access, firewalls, locking down cluster access.

Why This Role Matters

At this stage, technical product quality and company credibility are tightly linked. The systems you build will shape how users experience the company and how fast the organization can operate.

Compensation and Benefits

Benefits include competitive salary, meaningful equity, health coverage, free meals, and additional benefits. This is a leadership role with significant strategic impact and equity upside.

Equal Opportunity Statement

Ornn is committed to building a diverse team. We evaluate candidates based on their ability to do the work, not on pedigree or background. We encourage applications from people of all backgrounds and experiences.