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# Principal Solution Architect - AI Infrastructure and Cloud

- **Company:** Iris Energy
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Cloud Computing, Computer Engineering, System Configuration, Linux, File Systems, Distributed Computing Environment, InfiniBand, Open Source Technology, Remote Direct Memory Access, AI Infrastructure, Ceph (Software), Pytorch, DeepSpeed, Large Language Models, Multi-Agent Systems, HybridCloud, Kubernetes, Information Technology, Slurm, TensorRT, Megatron
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_9a9cca73cc8dd5cbd51f3b055efeacce

## About the Role

* Experience: 8-10+ years as a Solution Architect, Systems Engineer, or Infrastructure Architect handling enterprise cloud, HPC, or AI environments.
 * AI & Hardware Mastery: Deep hands-on experience with high-density GPU nodes (NVIDIA HGX/DGX/Blackwell), Linux bare-metal virtualization, and RDMA networking (InfiniBand/RoCE v2).
 * Orchestration & Storage: Proficiency with Kubernetes, container networking (CNI), and parallel file systems (Lustre, VAST, Ceph).
 * Customer-Facing Execution: Proven ability to lead complex technical workshops, present to C-suite executives, and resolve high-stakes production bottlenecks., * Practical experience tuning NCCL communication, GPUDirect Storage (GDS), or custom InfiniBand routing fabrics.
 * Contributions to open-source cloud-native or AI orchestration projects (e.g., CNCF, Ray, Slurm, k0rdent).
 * B.S. or M.S. in Computer Science, Computer Engineering, or quantitative discipline.

## Description

As a Principal Solution Architect, you will sit at the tip of the spear for IREN's AI Cloud platform. You will partner directly with client CTOs, lead ML engineers, and infrastructure architects to design, benchmark, and optimize massively distributed training and inference clusters. You will convert complex customer requirements into optimized hardware/software configurations while creating reference architectures that set industry benchmarks., * Serve as the trusted lead technical architect for tier-1 enterprise customers migrating or scaling AI workloads on IREN's infrastructure., * Lead hands-on proof-of-concept deployments, conducting cluster benchmarking (e.g., NCCL-tests, Linpack, MLPerf, IO500) to validate customer SLA requirements., * Partner with client engineering teams to profile and optimize distributed training jobs (Megatron-LM, DeepSpeed, PyTorch FSDP) and inference pipelines (vLLM, TensorRT-LLM).