- 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.
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!
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 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.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.