Solutions Architect, AI and HPC Infrastructure

We need a curious, collaborative, and creative individual to advance these opportunities across AI infrastructure, industrial digital twins, and accelerated computing for the energy sector, and to become a trusted technical advisor bridging our industry, infrastructure, and partner teams. Engaging with internal developers, researchers, data scientists, and senior leaders is a core part of the role and offers exposure to a wide range of partners and challenges.

What you’ll be doing:

• Partner with energy-sector customers, ISVs, and account teams on discovery, architecture reviews, technical deep dives, POCs, benchmarks, demos, and production deployment guidance for AI infrastructure.
• Advise on the design, build-out, and optimization of accelerated AI infrastructure for energy customers, including large-scale GPU clusters, AI factories, and edge deployments.
• Support infrastructure design across compute, networking, storage, containers, observability, security, power, and data center operations for energy-sector AI workloads.
• Drive adoption of systems monitoring, telemetry, and management tools to improve cluster utilization, reliability, performance, and workload insight.
• Document what you learn and teach others - through targeted samples, whitepapers, blogs, and working through hard problems with customers.
• Build repeatable reference architectures, deployment guides, sizing guidance, benchmark reports, technical playbooks, demos, and whitepapers for energy-sector AI infrastructure.
• Strategically partner with flagship customers and industry-specific solution partners targeting our computing platform.
• Collaborate primarily through virtual tools, and be empowered to find the best way to make our partners and customers successful. Travel up to 20% for customer meetings may be required.

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, other Engineering, or related field (or equivalent experience).
• 8+ years of hands-on experience in AI infrastructure, accelerated computing, distributed systems, cloud infrastructure, high-performance computing, or machine learning platforms, with strong experience designing, deploying, and operating accelerated computing infrastructure at scale.
• In-depth knowledge of AI cluster orchestration, scheduling, automation, and CI/CD deployment pipelines, and understanding of data center networking technologies such as InfiniBand, Ethernet, RDMA, network configuration, and performance tuning.
• Familiarity with infrastructure requirements for AI workloads, including distributed training, inference serving, model deployment, storage performance, and cluster reliability.
• Working knowledge of one or more energy sectors (power generation, oil & gas, transmission and distribution / grid, or renewables) and their operational and IT environments.
• Excellent presentation, communication, problem-solving, documentation, and collaboration skills.
• Strong problem structuring and the self-direction to drive ambiguous, multi-stakeholder projects to results.

Ways to stand out from the crowd:

• Experience architecting AI factories, large GPU clusters, multi-node training environments, or production inference platforms.
• Experience deploying LLM training, fine-tuning, RAG, and inference workflows on large-scale AI infrastructure.
• Experience evaluating cluster performance using benchmarks such as MLPerf, HPL, or workload-specific performance tests.
• Applications and systems-level knowledge of OpenMPI, NCCL, distributed training frameworks, and GPU communication patterns.
• Comfortable with modern application-deployment practices such as Docker/Containers and Kubernetes.

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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!