The RoleAs a
Compute Solution Architect, you will support our strategic AI Infrastructure customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving thousands of GPUs. You will also collaborate with sales and product teams to drive growth and enhance customer satisfaction.
What You Will DoYour responsibilities will include:Technical customer ownership- Serve as the primary technical point of contact, troubleshooting and resolving issues for AI Infrastructure services.
Strategic contract delivery- Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met, including timelines, SLAs, and support.
Product and support collaboration- Act as a bridge to product and support teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
GPU performance optimization- Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
Sales partnership- Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.
- Engage directly with key customer stakeholders, including Founders, CTOs, Research Engineers, and Heads of Infrastructure.
What We're Looking For- 5-10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
- Track record as a technical pre-sales/solutions architect driving infrastructure engagements with partners through to production.
- Strong understanding of AI/ML concepts and advanced implementations.
- Proven success driving technical engagement and technical adoption.
- Working knowledge of cluster orchestration and scheduling: Slurm, Kubernetes, and batch/HPC workload management.
Nice to have- Working knowledge of model training frameworks runtimes (e.g., PyTorch, JAX, Tensorflow) and Generative AI serving runtimes (e.g., vLLM, TensorRT-LLM, SGLang, TGI, LLM-D).
- Proficiency with parallel file systems (e.g., Lustre, GPFS) and object storage integration.
- Familiarity with high-performance infrastructure: InfiniBand/RDMA networking, parallel storage, and multi-node distributed training topologies.
Why This Role MattersCompute deals require flawless execution from the initial technical commitment through deployment and production. By coordinating customers, sales, product, and support, the Compute Solution Architect ensures that infrastructure performs as expected, contractual commitments and SLAs are met, and issues are resolved quickly. This end-to-end ownership is critical to building customer trust, securing long-term adoption, and turning strategic GPUaaS contracts into successful partnerships.
Hiring Process- Talent Acquisition screening call
- 45 min Hiring Manager & Business Acumen interview
- 60 min Technical deep dive
- Panel (home prep & restitution)
- 30 min Value talk
- Reference checks
What We OfferWe offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
