Solutions Architect - AI and High-Performance Compute

IREN United State
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

IREN is hiring a Solutions Architect to partner with customers and support the design, deployment, and optimization of their AI and high-performance compute workloads. The role requires a strong understanding of AI infrastructure fundamentals and experience supporting distributed workloads for AI, machine learning, or high-performance computing.

Key Highlights
Design and deploy scalable infrastructure architectures
Support customers with AI and high-performance compute workloads
Collaborate with internal teams to improve platform reliability and tooling
Key Responsibilities
Serving as the primary technical authority for customers deploying AI, machine learning, and high-performance compute workloads
Leading end-to-end technical engagement across the customer lifecycle
Designing, documenting, and validating reference architectures for distributed training and inference workloads
Technical Skills Required
GPU-based compute systems High-performance networking Storage architectures Kubernetes Batch schedulers GPU platforms Workload orchestration
Benefits & Perks
Base salary $165,000 - $220,000/annum
Annual performance incentives
Equity programs
100% company-paid health insurance premiums
401(k) retirement plan with company match

Job Description


Job Description

Job Type:  Full-time | Location:  San Francisco | Department:  Commercial | Reporting to:  Commercial Director, AI&HPC | Work Location Type: #hybrid 

 

IREN is a leading AI Cloud Service Provider, delivering large-scale GPU clusters for AI training and inference. IREN’s vertically integrated platform is underpinned by its expansive portfolio of grid-connected land and data centers in renewable-rich regions across the U.S. and Canada.

As we continue to expand our AI and high-performance compute platform, IREN is hiring a Solutions Architect to partner with customers and support the design, deployment, and optimization of their workloads. 

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.  

Job Requirements

  • 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

Other important requirements 

  • Pre-employment screening, including background checks will be required according to company policies. 

Job 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

Job Benefits

The IREN Package  

At IREN, we offer a highly competitive compensation package that includes base salary, annual performance incentives, and opportunities to build long-term wealth through equity programs. These offerings are part of our broader Total Rewards package, thoughtfully designed to support your health, well-being, and long-term success. 

Compensation 

  • The expected base salary for this role USD$165,000 – 220,000/annum.
    • Actual compensation will be determined based on factors such as experience, qualifications, and market data for the region.
  • Total Compensation package may be inclusive of annual incentive bonus, equity (long-term incentive).
  • Relocation or Living-out-allowance / per diem (as appliable and based on successful candidate circumstances)

Health & Wellness 

  • 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

Retirement & Financial Wealth 

  • 401(k) retirement plan with company match
  • Access to financial planning and legal services

Time Off & Leave Programs 
  • Paid Time Off (PTO) and paid holidays 

Growth & Development 

  • Internal skills training and advancement pathways
  • Professional development to support certifications, continuing education, or role related training 

Community & Culture 

  • Company events and team-building activities 

We value diverse perspectives and believe that skills can be developed. If you’re passionate about this role, we want to hear from you — whether you meet every criteria or not. Your unique experiences might be exactly what we need!    

IE US Operations Inc., the employing entity and proud member of the IREN group is an equal opportunity employer that is committed to creating an inclusive workplace. We are committed to evaluating qualified applicants and do not discriminate against protected characteristics under applicable legislation.  

By applying for this position and submitting your resume and application materials, you consent to the processing of your personal information in accordance with our Job Applicant Privacy Statement available on our website at www.iren.com.  

 


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