Solution Innovation Architect - AI/ML
Snowflake136,000 - 201,200 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Center Infrastructure, AI & Machine Learning, Sustainable TechnologyIndustries
Requirements
Candidates should possess an advanced degree (MS/PhD) in Computer Science, Machine Learning, Climate Science, Computational Physics, or a related technical field, along with 3+ years of experience in industry or academia. Strong programming skills in Python and/or C++ are required, alongside expertise in AI and digital twin technologies for large-scale infrastructure projects. A 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), and familiarity with containers, numerical libraries, modular software design, and version control are also necessary.
Responsibilities
As a Solution Architect, you will support customers in designing and deploying digital twin solutions for energy flow modeling, renewable energy integration, and carbon footprint reduction in data centers. You will develop AI-driven digital twin simulations to optimize power usage, cooling efficiency, and infrastructure sustainability, utilizing Earth-2 capabilities to forecast the impacts of renewable energy variability and weather on data center operations. You will also support the deployment of digital twins on large clusters, collaborate closely with the NVIDIA Infrastructure Specialists Team, and work with engineering and cloud teams to scale digital twin solutions across diverse infrastructures. Furthermore, you will deliver trainings, hackathons, and demos on using our solutions and platforms, and support customers in achieving sustainability goals through real-time insights and predictive analytics.
Skills
Python
C++
AI
Digital Twin
Physics-Informed Machine Learning
NVIDIA Modulus
Cloud Platforms
High-Performance Computing
Deep Learning Frameworks
PyTorch
Containers
Numerical Libraries
Software Design
Version Control
Communication Skills
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees