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Summary:
- NVIDIA is advancing digital twin technology to drive sustainable data center operations, offering insights and optimization capabilities.
- The Earth-2 platform uses GPU-accelerated computing, AI-driven physics simulations, and massive datasets to create scalable, real-time digital twins.
- The Solution Architect will focus on deploying digital twin solutions for data centers, enhancing operational sustainability and efficiency.
- The role involves collaborating with NVIDIA Infrastructure Specialists Team to implement solutions, leveraging Earth-2 for transformative outcomes.
Responsibilities:
- Support customers in designing and deploying digital twin solutions for energy flow modeling, renewable energy integration, and carbon footprint reduction in data centers.
- Develop AI-driven digital twin simulations to optimize power usage, cooling efficiency, and infrastructure sustainability.
- Support the deployment of digital twins on large clusters and work closely with the NVIDIA Infrastructure Specialists Team.
- Utilize Earth-2 capabilities to forecast the impacts of renewable energy variability and weather on data center operations.
- Work with engineering and cloud teams to scale digital twin solutions across diverse infrastructures.
- Support customers in achieving sustainability goals through real-time insights and predictive analytics.
- Deliver trainings, hackathons, and demos on using NVIDIA solutions and platforms.
Requirements:
- Advanced degree (MS/PhD) in Computer Science, Machine Learning, Climate Science, Computational Physics, or related technical field.
- 3+ years of experience in industry or academia with strong programming skills in Python and/or C++.
- Expertise in AI and digital twin technologies for large-scale infrastructure projects.
- Developed physics-informed machine learning (Physics-ML) applications with frameworks like NVIDIA Modulus for modeling large infrastructure such as data centers.
- Solid understanding of sustainability practices and environmental impact analysis in data centers.
- Knowledge of cloud platforms, high-performance computing, and major deep learning frameworks (e.g., PyTorch).
- Experience with containers, numerical libraries, modular software design, and version control.
- Strong written and verbal communication skills, and experience in collaborative environments.
Benefits:
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
- Employees are encouraged to apply even if they lack some of the listed requirements.
