Description
We are seeking an experienced Senior Solutions Architect to join our team. As a Senior Solutions Architect, you will work closely with our customers to design and implement innovative hardware and software solutions using NVIDIA's cutting-edge technology.
Your primary responsibilities will include collaborating with NVIDIA Cloud Partners to create, implement, and put into operation NVIDIA's innovative hardware and software solutions, partnering with Sales Account Managers and other business leads to identify and secure business opportunities for NVIDIA products and solutions, and acting as the primary technical support for customers during the development, construction, and production of extensive GPU cloud infrastructure through the whole customer lifecycle.
You will also conduct regular technical customer meetings for project/product details, feature discussions, introduction to new technologies, and debugging sessions, work with customers to build PoCs for solutions to address critical business needs by building out networking and compute infrastructure, prepare and deliver technical content to customers including presentations, workshops, etc., and analyse and develop joint solutions for customer performance and scaling issues.
To be successful in this role, you will need to have a strong background in electrical/computer engineering, computer science, physics, or other engineering fields, motivation and skills to own and drive technical engagements with customers throughout the full customer life-cycle, 8+ years of Solutions Engineering (or similar Sales Engineering, Cloud Engineering) experience working directly with partners and customers, experience crafting and deploying large-scale cluster environments, practical expertise in data center design, development, and execution for AI and HPC, efficient time management, and capable of balancing multiple tasks.
Preferred qualifications include practical familiarity with NVIDIA hardware within extensive AI and HPC cluster settings, practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager, etc., familiarity with at-scale GPU systems in general, encompassing performance testing, AI benchmarking, and more, and practical involvement in cluster administration and coordination (SLURM, K8s, etc.).