IREN · 17 hours ago
Solutions Architect
San Francisco, CA
Full-time
Hybrid
Senior Level
$165K/yr - $220K/yr
6+ years expIREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. The Solutions Architect will partner with customers to design, deploy, and optimize their workloads while ensuring the infrastructure aligns with technical requirements and business objectives.
BitcoinCryptocurrencyData CenterData Storage
Responsibilities
Serving as the primary technical authority for customers deploying AI, machine learning, and high-performance compute workloads on IREN’s infrastructure
Leading end-to-end technical engagement across the customer lifecycle, from initial discovery and architecture design through onboarding, validation, and steady-state production
Translating customer workload requirements into clear, executable infrastructure designs spanning GPU compute, networking, storage, security, and performance considerations
Designing, documenting, and validating reference architectures for distributed training and inference workloads running at scale
Leading proof-of-concept and pilot deployments, including environment setup, performance benchmarking, and readiness assessment against customer success criteria
Diagnosing and resolving technical issues related to workload performance, system configuration, and infrastructure dependencies, in close partnership with internal engineering and operations teams
Providing technical leadership during customer meetings, architecture reviews, and deployment planning sessions, clearly articulating trade-offs and recommendations
Partnering with Commercial to support technical aspects of customer evaluations, proposals, and deployment planning without acting as a pure sales role
Acting as a conduit between customers and internal teams by synthesizing field learnings into structured feedback to improve platform reliability, tooling, and operational processes
Contributing to the development of internal best practices, documentation, and repeatable deployment patterns to support consistent customer outcomes
Maintaining a working understanding of evolving AI infrastructure, distributed systems, and high-performance compute trends relevant to customer workloads
Qualification
Required
Post-secondary education in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
6+ years of experience in solutions architecture, systems engineering, infrastructure engineering, or customer-facing technical roles supporting production workloads
Strong understanding of AI infrastructure fundamentals, including GPU-based compute systems, high-performance networking, and storage architectures
Demonstrated experience supporting distributed workloads for AI, machine learning, or high-performance computing in production environments
Hands-on familiarity with GPU platforms commonly used for AI workloads and the surrounding software and networking ecosystem
Experience working with workload orchestration or scheduling systems used in AI or HPC environments (e.g., Kubernetes and/or batch schedulers)
Ability to design, document, and communicate scalable infrastructure architectures that align technical requirements with business objectives
Proven ability to build trusted relationships with customers and clearly communicate complex technical concepts to both technical and non-technical audiences
Strong troubleshooting and analytical skills, with experience diagnosing performance, configuration, or infrastructure-level issues
Comfortable working cross-functionally with commercial, engineering, and operations teams in fast-moving environments
Pre-employment screening, including background checks will be required according to company policies
Benefits
100% company paid health insurance premiums (medical, dental, and vision) for employees, 75% company paid coverage for dependents
Company-paid short-term and long-term 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
Access to financial planning and legal services
Paid Time Off (PTO) and paid holidays
Internal skills training and advancement pathways
Professional development to support certifications, continuing education, or role related training
Company events and team-building activities
Company
IREN
IREN is a data center that provides Bitcoin mining and GPUs services using renewable energy.
51-200 employees
Funding
Current Stage
Public CompanyTotal Funding
$3.97BKey Investors
NYDIG
2025-12-03Post Ipo Debt· $1.32B
2025-10-07Post Ipo Debt· $1B
2025-08-25Post Ipo Debt· $102M
Leadership Team
Daniel Roberts
Co-Founder & Co-CEO
Will Roberts
Co-Founder & Co-CEO
Recent News
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2026-01-24
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