Pre-Sales Solutions Architect - AI & GPU Infrastructure Ajouter aux favoris
YOUR FUTURE TEAM We work in a collaborative and international environment where the diversity of Scalers, combined with a strong culture of knowledge sharing, helps us bring ambitious projects to life. You will join our GPU Cloud organization and work closely with the Head of GTM GPU , supporting strategic opportunities across Europe and internationally. The role sits at the intersection of customers, Sales, Engineering, Hardware, Product, Network, and Operations , giving you direct exposure to some of our most complex AI and HPC infrastructure projects. You will contribute to the design of custom GPU solutions for customers running workloads such as AI training, inference, fine-tuning, RAG, and large-scale distributed computing , while supporting Scaleway's ambition to build a leading sovereign AI infrastructure platform in Europe.
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)
- 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
- 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)
- 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.
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)
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