Solution Architect - GPU & HPC

OUR STORY:   🇪🇺 Join Scaleway and shape the sovereign cloud of tomorrow ! Since 1999, we have been designing secure, sustainable infrastructures aimed at supporting the most ambitious companies.   Historically known for our dedicated servers (Dedibox), we made a strategic shift to cloud computing in 2015. Staying true to our principles of simplicity, flexibility, and technical excellence, we have become one of the leading players in Europe in the sector.   With the rise of artificial intelligence, we have strengthened our commitment, supported by the Iliad Group, which is investing €3 billion to develop a serious, sovereign AI alternative to American and Asian giants.   Every day, thanks to our fast-growing portfolio of cloud and AI products (bare metal, containerization, serverless, AI, etc.), Scaleway proudly serves thousands of customer across the private and public sector, from corporations like France Télévisions or Hachette Livre, to fast-growing startups like Photoroom and Biolevate, to institutions like the City of Copenhagen.   📍 Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux and Lyon.   OUR STORY 🇪🇺 Join Scaleway and shape the sovereign cloud of tomorrow! Since 1999, we have been designing secure, sustainable infrastructures aimed at supporting the most ambitious companies. Historically known for our dedicated servers (Dedibox), we made a strategic shift to cloud computing in 2015. Staying true to our principles of simplicity, flexibility, and technical excellence, we have become one of the leading players in Europe in the sector. With the rise of artificial intelligence, we have strengthened our commitment, supported by the Iliad Group, which is currently investing €3 billion to develop a serious, sovereign AI alternative to American and Asian giants. Every day, thanks to our fast-growing portfolio of cloud and AI products (bare metal, containerization, serverless, AI, etc.), Scaleway proudly serves thousands of customer across the private and public sector, from corporations like France Télévisions or Hachette Livre, to fast-growing startups like Photoroom and Biolevate, to institutions like the City of Copenhagen. 📍 Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux, and Lyon. WHY WE NEED YOU? Our growth is driving us to strengthen our HPC / AI Tribe team to support our fast-growing portfolio of large-scale GPU infrastructure and AI/ML workloads. Your mission will be to act as the primary technical contact for our clients and prospects during the first phases of their projects in order to resolve complex infrastructure challenges, design tailored GPU cluster solutions, and accelerate sales closing. YOUR FUTURE TEAM We work in a collaborative and international environment where the diversity of Scalers, combined with a spirit of sharing, helps bring new projects to life every day, advancing our ambitions together. You will be part of a team of experts dedicated to high-performance computing and AI, operating within a wider organization backed by the resources of the Iliad Group. This role focuses on high-visibility, European-scale projects with a strong focus on digital sovereignty. You will work in close collaboration with the Head of GTM GPU, as well as our Hardware, Product, Network, and Marketing teams to build custom, cutting-edge solutions for global clients. YOUR DAILY ROUTINE Prepare and actively participate in technical client presentations Deeply understand and analyze clients' AI workloads (including training, fine-tuning, inference, agents, and RAG) Qualify and translate client technical constraints (computational infrastructure, networking, data) into business value Engage closely with technical contacts and C-level executives to build trust and long-term relationships Design, plan, blueprint, and provision custom GPU clusters and distributed architectures Organize and execute Proof of Concepts (POCs) to demonstrate technical viability Partner internally across HPC, Product, Hardware, Network, and Sales teams to build bespoke infrastructures Collaborate with sales teams to accelerate the closing process on large-scale deals Analyze market trends and competitor offerings to contribute to the continuous improvement of our GPU Cluster product lines Anticipate market needs and participate in defining future services along with their associated service level agreements (SLAs) ABOUT YOU HARDSKILLS: 3 to 8 years of experience in a technical pre-sales engineering role, ideally within an Hyperscaler or Neocloud environment Strong expertise in Cloud Architecture (IaaS / PaaS) and B2B complex sales cycles Deep knowledge of GPU Architecture / GPU Clusters (NVIDIA, AMD) and container orchestration (Kubernetes GPU) Familiarity with distributed systems and high-performance storage solutions (Slurm, Lustre, VAST, DDN, CUDA) Solid command of advanced networking protocols for HPC ecosystems (InfiniBand / RDMA) Familiarity with AI training, inference stacks, and MLOps architectures SOFT SKILLS: Excellent business and technical English (both written and spoken) for a worldwide scope Strong relationship-building skills with the ability to engage with both highly technical engineers and C-level executives Collaborative mindset with a proven ability to bridge the gap between product engineering and sales teams Pragmatic problem-solving skills with a business-driven mindset Strong team spirit and humility (knowing how to share credit with internal stakeholders) WHAT YOU WILL FIND AT SCALEWAY ++++ Hybrid work: We offer up to 3 days of remote work per week. Offices: Our offices are spacious, dynamic workspaces with bold design, conveniently located near public transport. Most of our offices feature outdoor spaces (terraces) and bike parking facilities. Dining: Our chef provides a healthy meal service at the headquarters, and breakfast is available across all our sites year-round. Scalers working from regional sites enjoy a Swile card for lunches. Well-being commitments: Whether it’s access to a gym, daycare places, or discounted services for caring services, Scaleway is committed to supporting Scalers in maintaining a balanced life. International environment: With dozens of nationalities, Scaleway offers a stimulating environment where English is as widely spoken as French. Career & Mobility: Our managers value internal mobility, and opportunities to transition to other entities within the Iliad Group are accessible to all Scalers. 🚀 Why join the Scaleway adventure? ✔ A rich and diverse product offering: Scaleway offers over 100 public cloud products in IaaS, PaaS, and AI. ✔ A cutting-edge technical environment: Scaleway provides modern infrastructures, including high-performance bare metal servers, to tackle exciting technical challenges. ✔ Commitment to responsible cloud: Scaleway is dedicated to a more responsible cloud, with data centers powered solely by renewable energy since 2017, minimizing our ecological footprint and holding top-level certification. 🔜 THE NEXT STEPS … Discovery call with our tech recruitment team to discuss your background and expectations (30 min) Interview with your future Manager to understand your technical skills and approach to the role (45 min) Technical deep dive interview with our Head of Tribe/VP to validate your expertise (1h)

HPC CLUSTER ARCHITECT Location: UK (Remote) Department: Infrastructure Reporting to: Head of Infrastructure ABOUT NEXGEN CLOUD: NexGen Cloud is the company behind Hyperstack, a full-stack AI cloud serving tens of thousands of customers from AI researchers to enterprises running the world's most compute-intensive workloads. We deliver on-demand and private GPU infrastructure to teams who treat performance as a requirement, not a feature. We're a tight-knit, fast-moving team working at the cutting edge of AI cloud infrastructure. We practice what we preach, equipping our people with AI at every level so we can solve harder problems, ship faster, and keep raising the bar for what enterprise GPU infrastructure looks like. THE ROLE: HPC CLUSTER ARCHITECT This role exists because NexGen Cloud is winning large-scale dedicated GPU cluster contracts and needs someone who can own the full architecture cycle — from first customer conversation to production deployment. You'll have direct ownership over cluster architecture across compute, networking, storage, and physical design — translating customer requirements into production-ready, commercially optimised GPU deployments. This is a senior hands-on role for someone who has lived and breathed HPC cluster design and wants to be the technical authority, not one voice in a committee. You'll own designs end-to-end and see them go live. WHAT YOU'LL BE DOING: Rather than a long checklist, here's what success in this role looks like: * Own end-to-end cluster architecture for large-scale NVIDIA GPU deployments — from customer requirement through rack layouts, BOM, power and cooling design, to production handover * Design high-performance network fabrics across compute (InfiniBand, RDMA, NVLink/NVSwitch), storage, and WAN — defining topology, oversubscription models, and scaling strategies * Engage directly with OEMs and vendors — validating hardware configurations, reviewing quotes, and ensuring designs are both technically sound and commercially optimised * Provide technical oversight during deployment and bring-up — supporting hardware validation, performance testing, and acting as escalation point for complex integration issues * Act as a senior technical leader across Solutions Architecture, Cloud Engineering, and data centre partners — contributing to standardised reference designs and building out the HPC engineering function ABOUT YOU: We're more interested in how you think and work than in a perfect CV. You'll likely bring a combination of the following: * Proven experience in HPC or AI software stack design and delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. * Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference workloads reliably in production. * Hands-on experience optimising AI and HPC workloads across multi-GPU and multi-node configurations — including profiling, bottleneck identification, and performance tuning at both the application and infrastructure layer. * Strong working knowledge of containerisation and orchestration in HPC/AI contexts: Docker, Kubernetes, NVIDIA GPU Operator, and container-native workload management. * Background in an OEM, hyperscaler, neo-cloud, or enterprise/research HPC environment, with demonstrable exposure to the full design-to-deployment lifecycle for GPU-accelerated workloads. * Ability to produce clear, professional technical documentation and architecture diagrams suitable for both engineering and board-level audiences. * Confident engaging with customers, vendors, and internal engineering teams as a technical authority — able to translate complex software and performance trade-offs into clear, actionable decisions. Nice to Have * Experience with large-scale cluster performance benchmarking — NCCL tests, MLPerf, or equivalent — and familiarity with what good looks like across different GPU generations and topologies. * Exposure to MLOps tooling and AI platform layers: experiment tracking (MLflow, W&B), model serving frameworks (Triton, vLLM), and pipeline orchestration (Kubeflow, Airflow). * Familiarity with InfiniBand and high-performance networking as it relates to distributed training performance — sufficient to engage credibly with network and infrastructure teams on topology and tuning decisions. WHAT WE OFFER: * Competitive salary and annual discretionary bonus scheme * Employee wellbeing benefits * 25 days of holiday, plus public holidays * Flexible working arrangements (remote or hybrid, depending on role and location) * Real ownership and autonomy, with the trust to take initiative and experiment * The opportunity to make a visible, meaningful impact as we scale * Clear career progression and growth opportunities in a fast-growing company * A collaborative, international culture built on trust, transparency, and ownership * The chance to help shape NexGen Cloud's team, culture, and future alongside ambitious, mission-driven colleagues MORE INFORMATION Head over to our NexGen Cloud careers page to view current openings and follow us on LinkedIn and X to learn more about our journey, newest releases and hear exciting news in the neocloud space.