Senior Solution Architect, AI Compute Engineer - NVIS

NVIDIA is looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large‑scale AI/HPC projects, combining networking, system design, and automation while serving as the primary customer interface. What you will be doing: • Deploying, managing, and maintaining AI/HPC infrastructure in Linux‑based environments for new and existing customers. • Serving as the domain expert with customers from planning calls through implementation. • Handover‑related documentation and performing knowledge transfers required to support customers as they roll out sophisticated systems. • Providing feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements. What we need to see: • BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields. • 5+ years of in‑depth support and deployment services, solving problems for hardware and software products. • Extensive knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring). • Experience with cluster management technologies. • Proficiency in scripting. • Excellent interpersonal, verbal, and written English skills, with the ability to maintain and deliver resolutions for customer‑blocking issues. • Strong organizational skills and the ability to prioritize/multi‑task with limited supervision. • Industry‑standard Linux certifications. • Experience with schedulers such as SLURM, LSF, UGE, etc. Ways to stand out from the crowd: • Hands‑on experience with MPI (OpenMPI, MPICH), distributed communication programming, and cluster debugging. • In‑depth understanding of NCCL principles and applications, and expertise in collective communication optimization for NVIDIA GPU clusters. • Experience deploying and optimizing high‑speed networks (InfiniBand/Ethernet) with an understanding of how network architecture impacts GPU cluster performance. • Familiarity with automation tools (Ansible, Salt, Puppet, etc.) and the ability to implement batch configuration and operational automation for GPU clusters and LLM deployment environments. • Hands‑on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr