GMI Cloud

A leading AI infrastructure company is seeking a Senior Solution Architect to design innovative GPU cloud and AI solutions. In this role, you'll engage with enterprise and hyperscaler customers, leading proof-of-concepts and technical deployments. The ideal candidate has 5-10 years of experience in cloud infrastructure and a strong foundation in AI/ML technologies. Join a fast-growing team that partners closely with top-tier organizations and influences advanced AI deployments across North America.

Senior Solution Architect - AI / GPU Cloud We are seeking a Senior Solution Architect to design GPU cloud and AI infrastructure solutions, lead PoCs and benchmarks, guide customers through deployment, and partner closely with engineering and operations teams at GMI Cloud. About GMI Cloud GMI Cloud is a fast growing AI infrastructure company backed by Headline VC. We operate hundreds of megawatts of AI ready data center capacity across North America and a growing AI Factory footprint in Asia, delivering a full spectrum of services from GPU compute to AI model inference API solutions. As an NVIDIA Reference Platform Cloud Partner, our infrastructure meets the highest standards for performance, security, and scalability in AI deployments. Role Overview As a Solution Architect, you will be the primary technical interface for our enterprise and hyperscaler accounts and help customers build AI without limits. Key Responsibilities Serve as the primary technical point of contact for enterprise and hyperscaler customers. Deeply understand customer AI/ML/HPC workloads, scaling requirements, and deployment models. Architect GPU clusters, storage, networking, and orchestration solutions tailored to customer needs. Lead proof of concepts, benchmarks, and workshops demonstrating performance, reliability, and scalability. Produce technical proposals, architecture diagrams, capacity plans, and cost/performance recommendations. Translate complex technical issues into clear actions for both engineering and business stakeholders. Guide customers through onboarding, cluster setup, performance tuning, and scaling. Partner with internal infra, DC ops, and engineering teams to ensure smooth delivery and implementation. Identify optimization opportunities in customer workloads (GPU utilization, networking, scheduling, cost). Act as a trusted advisor on GPU/AI infrastructure best practices, roadmap, and long term planning. Maintain regular technical check ins, capacity reviews, and performance reviews with customers. Gather customer feedback and collaborate with product/engineering to improve our platform. Required Qualifications Technical Background 5-10+ years in cloud infrastructure, GPU cloud, HPC, AI/ML infrastructure, or data center engineering. Strong understanding of distributed training & inference architectures, Kubernetes, Slurm, or other cluster/orchestration systems, NVIDIA GPU stack (H100/H200/B200/GB200 or similar), InfiniBand/high speed networking, and storage architectures for AI workloads. Customer Facing Skills Experience working directly with enterprise or hyperscaler technical teams. Ability to simplify complex infra concepts for both technical and non technical audiences. Strong communication, solution design, and project coordination skills. Soft Skills Self starter, ownership mindset, excellent follow through. Comfortable working in a fast moving, high growth environment. Strong problem solving and "architect + advisor" mentality. Preferred Qualifications (Nice to Have) Hands on with large scale GPU deployments (multi node, multi cluster). Exposure to hyperscaler capacity planning or AI infrastructure procurement teams. Experience with multi region or global GPU deployments (US + APAC/Taiwan). Why Join GMI Cloud Work directly with some of the world's most advanced AI organizations. Architect and deliver multi MW GPU clusters at global scale. Influence product roadmap and partner closely with NVIDIA and top tier data center providers. High impact role with significant ownership and career growth.

Direct message the job poster from GMI Cloud Focusing on LLM, AI Infrastructure, and AIGC. Opportunities across Silicon Valley and China. GMI Cloud is a leading AI Native Cloud service provider founded by AI experts from Google X and Silicon Valley elites. We operate a global network of data centers, offering the latest and most optimized GPU resources for enterprise AI applications, and providing stable, secure, efficient, and cost-effective AI cloud service solutions to startups, research institutions, and large enterprises worldwide. Machine Learning Engineer - Video Generation We are seeking a highly skilled Machine Learning Engineer with extensive experience in video/image generation models. The ideal candidate will have a strong background in diffusion-based video generation models and serving frameworks like xDit. Key Responsibilities: Design and Develop Infrastructure: Architect and implement efficient machine learning infrastructure to support large-scale video inference. Design common workload processing pipelines for handling requests. Collaborate with customers to co-design solutions. Maintain System Reliability: Monitor system performance, troubleshoot issues, and ensure high availability. Implement logging, monitoring, and alerting solutions to maintain infrastructure health. Work with cross-functional teams to align infrastructure solutions with business needs. Provide guidance and mentorship to junior engineers. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at GMI Cloud by 2x. Set job alerts for "Machine Learning Engineer" roles.