Silicon Infrastructure Engineer
Ornn is building the financial infrastructure for the compute economy, providing reference pricing, market intelligence, capacity finance, and compute access for GPU compute. It serves buyers, sellers, and capital providers in the AI compute market, including institutions seeking to price, finance, and hedge compute the way commodities like oil are traded.
Maintainer signals as of 8/14/2026
Funding history
Projects
About Ornn
Ornn describes itself as 'The Foundation of the Compute Market,' building financial infrastructure to make GPU compute something that can be priced, financed, and hedged with confidence. Its flagship product is the OCPI (Ornn Compute Price Index), a reference price built on transaction-based data tracking live traded spot prices for GPU compute across hardware types such as H100, H200, B200, and B300, listed on Bloomberg. Ornn's product suite includes Ornn Compute Access (capacity for training, inference, and infrastructure-scale workloads) and Ornn Data (market measurement and intelligence covering pricing, volatility, supply, and demand). The company operates with a compliant architecture including complete KYC/AML protocols, combining physical and financial infrastructure into one compute platform. Ornn recently raised $33M led by A16Z and has been covered by The Economist, The Wall Street Journal, and Bloomberg. Its clients include buyers, sellers, and capital providers across the compute economy.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and operate the infrastructure layer powering heterogeneous GPU clusters and datacenters. You will design provisioning, scheduling, isolation, monitoring, networking, storage, and lifecycle-management systems; develop infrastructure software in Rust and Python; operate Kubernetes and Slurm environments; secure multi-tenant compute; collect telemetry and infrastructure state; and debug failures across Linux, networking, storage, virtualization, GPUs, and distributed systems.
Requirements
- Strong Linux systems knowledge
- Strong Rust knowledge and experience building production systems software
- Working knowledge of SQL and experience with data-intensive backend systems
- Experience operating containerized and virtualized workloads in production
- Deep familiarity with Kubernetes and/or Slurm
- Understanding of virtualization fundamentals including hypervisors, KVM/QEMU-style architectures, virtio, device passthrough, and workload isolation
- Strong understanding of distributed systems
- Ability to debug across application, kernel, networking, scheduler, hypervisor, and physical server layers
- Ability to operate independently and own systems from design through production
- BS, MS, or equivalent experience in computer science, computer engineering, electrical engineering, or a related technical field
Responsibilities
- Build and operate infrastructure across heterogeneous GPU clusters and datacenters
- Design systems for provisioning, scheduling, isolating, monitoring, and managing compute
- Build infrastructure software in Rust and Python for node management, orchestration, telemetry, networking, and cluster operations
- Operate and extend Kubernetes and Slurm environments
- Design secure multi-tenant compute environments
- Debug failures across Linux, networking, storage, schedulers, virtualization, GPUs, and distributed systems
- Build systems for collecting and querying infrastructure state, telemetry, inventory, health, and utilization data
- Automate infrastructure deployment and lifecycle management across clusters
- Design systems that degrade predictably, recover automatically, and expose failure information
Benefits
- Meaningful equity
- Health coverage
- Free meals