Company / Careers
Work on the systems behind serious AI.
Join a team where infrastructure, distributed systems, and machine learning meet, and where your decisions shape how the platform runs.
- Areas
- Solutions, systems engineering, cloud operations, and finance
- Location
- Shared during the recruiting process
Why ARC
Technical work, with real ownership.
Real systems
Your work reaches compute, networks, storage, and production workloads.
Real ownership
Carry problems from architecture through validation to production.
Real customers
Engineering decisions are tied to the jobs customers actually run.
Open roles
Current openings.
Select a role to see the details. Location and employment terms are shared during the recruiting process.
01Principal AI Infrastructure Solutions ArchitectSolutions / Infrastructure
The role
Own the path from customer workload discovery to production infrastructure architecture.
What you’ll do
Translate model, data, performance, security, and growth requirements into compute, network, storage, orchestration, and operating designs. Define topology, acceptance criteria, deployment phases, and the technical handoff into production.
What we value
Experience across AI infrastructure, HPC, GPU clusters, cloud architecture, distributed systems, or high-performance networking, and confidence working directly with technical customers.
02Senior AI Cluster & Network EngineerSystems Engineering
The role
Design, bring up, validate, and scale the communication fabric behind large GPU clusters.
What you’ll do
Own topology, InfiniBand and Ethernet, RDMA, NIC and DPU integration, switching, optics, provisioning, validation, telemetry, fault isolation, and expansion planning.
What we value
Hands-on experience with data center networking, RDMA fabrics, Linux networking, cluster validation, telemetry, or performance troubleshooting.
03Senior Fleet Operations / SRE EngineerCloud Operations
The role
Operate accelerated infrastructure as a reliable production fleet.
What you’ll do
Build health and observability systems, automate validation and recovery, manage configuration and firmware baselines, improve incident response, and set operating standards across clusters.
What we value
Experience with Linux fleets, SRE practices, automation, telemetry, incident response, distributed infrastructure, or production operations.
04Senior Storage Systems EngineerSystems Engineering
The role
Design the data paths that keep GPU clusters supplied and long-running jobs moving.
What you’ll do
Architect shared and local storage, checkpoint systems, object and file interfaces, data movement, capacity planning, testing, telemetry, and failure recovery.
What we value
Experience with distributed storage, parallel file systems, object storage, NVMe, Linux I/O, or AI and HPC data systems.
05Senior Accountant, U.S. Operations & Infrastructure FinanceFinance & Operations · United States
The role
Build the accounting discipline behind a capital-intensive U.S. infrastructure business.
What you’ll do
Manage accounting and reporting, fixed assets, AP and AR, vendor reconciliation, project costs, audit preparation, controls, and financial coordination across infrastructure programs.
What we value
Strong U.S. GAAP, close, reconciliation, fixed-asset, audit, and operational finance experience.
Bring your expertise to ARC.
Send your background and the role that interests you to Recruit@arccloudai.com.
Recruiting: Recruit@arccloudai.com