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Fleet Operations Engineer

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Before you apply
LocationNew York, United States
Typefull-time
SenioritySenior
DepartmentEng
EquityIncluded
Company size51–200 people
PostedAug 6, 2026 · 3mo ago
Verified live19h ago
May no longer be actively hiring
Posted by the company on Aug 6, 202688% of this company's open roles have been listed for 90+ days
How we check a job is still live
At a glanceSummarised by Seekless from the posting.
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
A genuine interest in AI hardware: GPUs, accelerators, and the systems that feed them
Virtualization experience: KVM/QEMU, hypervisors, VM lifecycle management
Network security experience: hardening exposed nodes, VPNs and zero-trust access, firewalls, locking down cluster access
Skills
Python
Rust
Kubernetes
Slurm
KVM
QEMU
Linux
GPU
Benefits
Health insurance
Equity
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.