Senior Solutions Architect, Customer Success and Partnership

NVIDIA is looking for Senior Customer Success/Partnership Solutions Architect to join its NVIDIA Infrastructure Specialist Team. Academic and commercial groups around the world are using NVIDIA products to redefine deep learning and data analytics, and to power data centers. We are building many of the largest and fastest AI/HPC systems in the world! We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent communication skills.  This role will be interacting with customers, partners and internal teams, to analyze, define and implement large scale Networking projects. The scope of these efforts includes a combination of Networking, System Design and Automation and being the face to the customer! What   you'll   be   doing :   Lead the hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.   Serve as a senior technical authority on NVIDIA technologies, contributing to architecture reviews and guiding infrastructure decisions at scale.   Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to detect bottlenecks and improve infrastructure resiliency.   Join post-deployment reviews, incident retrospectives, and sessions to craft the customer experience and provide insights into NVIDIA’s infrastructure strategy.   Complete   and   lead   complex   technical   projects   from initial design   through   implementation   and   continuous   improvement ,   ensuring   alignment   to   SLAs and   mitigation   of   technical   risks .   Support   business   growth   by   identifying   AI   infrastructure   opportunities   in   cloud   and   enterprise   environments   and   driving   technical   initiatives   that   showcase   NVIDIA’s   leadership   in   this   space .   What we need to see:   10+ years of experience in large-scale data center service operations with a focus on infrastructure.   BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.   Strong   analytical ,   solving   problems , and   decision-making   skills ,   capable   of   identifying   root   causes ,   driving   continuous   improvement , and   delivering   resilient   technical   solutions .   Strong   communication , time   management , and organizational   skills , with   the   ability   to   lead   complex   projects ,   guide   technical   teams .   Preferred   certifications   in   data   center,   server , or   networking   technologies, and a   willingness   to   travel   up   to   25%   for   customer   engagements   and team   collaboration .   Proficiency   in system-level   aspects ,   encompassing   Operating Systems, Linux   kernel   drivers , GPUs, NICs, and   hardware   architecture .   Shown   expertise   in   cloud   orchestration   software   and   job   schedulers ,   including   platforms   like   Kubernetes , Docker Swarm, and HPC- specific   schedulers   such   as   Slurm .   Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.   Ways to stand out from the crowd:   Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization (Docker, Kubernetes), and large-scale system deployments. Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures.   Good interpersonal and collaboration skills, with the ability to lead discussions, influence outcomes, and build positive relationships with both internal and external collaborators.   Your base salary will be determined based on your location, experience,