Principal Solution Architect – AI Infrastructure and Cloud

IREN • San Francisco, CA

1d • Hybrid

About The Position

IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC. With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and having a positive impact on the communities we operate in.

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.

Requirements

• 8–10+ years as a Solution Architect, Systems Engineer, or Infrastructure Architect handling enterprise cloud, HPC, or AI environments.
• Deep hands-on experience with high-density GPU nodes (NVIDIA HGX/DGX/Blackwell), Linux bare-metal virtualization, and RDMA networking (InfiniBand/RoCE v2).
• Proficiency with Kubernetes, container networking (CNI), and parallel file systems (Lustre, VAST, Ceph).
• Proven ability to lead complex technical workshops, present to C-suite executives, and resolve high-stakes production bottlenecks.

Nice To Haves

• 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.

Responsibilities

• Serve as the trusted lead technical architect for tier-1 enterprise customers migrating or scaling AI workloads on IREN’s infrastructure.
• Design, document, and publish end-to-end reference architectures covering GPU clusters, InfiniBand/RoCE network topologies, Ceph/Lustre storage fabrics, and Kubernetes multi-tenancy.
• 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).
• Translate customer pain points, telemetry, and edge cases into structured platform requirements for IREN’s core Product and Operations teams.

Benefits

• Highly competitive compensation package
• Base salary
• Annual performance incentives
• Equity programs
• Medical, dental, and vision insurance coverage – 100% company paid for employees, 75% company paid coverage for dependents
• Company-paid life and disability insurance
• Voluntary life, critical illness, and accident coverage available
• Health Savings Accounts (HSA) – when combined with the High-Deductible Health Plan
• Employee Assistance Program and wellness resources
• 401(k) retirement plan with company match
• Financial wellness tools and resources
• Paid Time Off (PTO) and paid holidays
• Flexible work arrangements
• Opportunities for advancement and internal mobility
• Training and personal development opportunities
• Company events and team-building activities
• Relocation (as applicable and based on successful candidate circumstances)

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Associate degree