Solutions Architect, HPC Systems Engineer

NVIDIA is looking for an experienced systems and network infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA Solution Architecture Engineering (SA) team focused on supporting accelerated computing applications.What You'll Be DoingWorking with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure deployments as solution architect. Guide customer discussions on network topologies, compute/storage and support bring up of server/network/cluster deployments. You will need to visit customer data center during bring up phase.Identifying new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Systems/Network Engineering, Product management and Sales teams.Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster debug, feature discussions and introduction to new technology solutions.Building custom product demonstrations and POCs for solutions that address critical business needs of our customers.Analyzing and debugging compute/network performance issues.What We Need To SeeBS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.This role is for an individual with the motivation and skills to drive the data center engagements. Ideal candidate has 6+ years of Solution Engineering (or similar Engineering roles) experience.System level understanding of server architecture, NICs, Linux, system software and kernel drivers.Practical knowledge of Networking - switching & routing for Ethernet/Infiniband, and Data Center infrastructure (power/cooling).Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes is a plus.Effective time management and capable of balancing multiple tasks.Ability to communicate your ideas/code clearly through documents, presentation etc.Ways To Stand Out From The CrowdExternal customer facing skill set and background.Experience with bring up and deployment of large clusters.Systems engineering, coding, and debugging skills including experience with C/C++, Linux kernel and drivers.Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions.Familiarity with virtualization technology concepts.We make extensive use of conferencing tools, but occasional (20%) travel is required for on-site visits to customers and industry events. We are open to remote work location.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD – 287,500 USD for Level 4, and 224,000 USD – 356,500 USD for Level 5. You will also be eligible for equity and benefits.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Job ID: JR2001503.J-18808-Ljbffr