Principal AI/ML Architect, Applied Field Engineering
Snowflake191,000 - 273,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Data & Analytics, High-Performance ComputingIndustries
Requirements
Candidates should possess a Master’s degree or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering, or a related field, or equivalent experience. They must have at least 5 years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow, and expertise in Transformer-based models. Experience with Large Language Models (LLM) training and fine-tuning, as well as experience with DL frameworks, training multi-node, fine-tuning, and deploying Generative AI and foundation models, is required. A passion for accelerated computing and strong analytical skills are also necessary.
Responsibilities
As an AI Solutions Architect, the individual will be an inspiring leader integrating NVIDIA technology into IT infrastructures, focusing on performance at scale, and working with business managers to craft strategies for customers. They will become an expert in NVIDIA Generative AI platform, enabling developers to adopt it for enterprise applications and services, and articulating the business value of Generative and Agentic AI to industry executives. The role involves interacting with end-users, data scientists, and developers to understand their needs, define and deliver high-value solutions, identifying gaps, proposing solutions, and collaborating with other NVIDIA teams to build full-stack GenAI solutions for industry verticals and enterprise use cases.
Skills
Deep Learning frameworks
PyTorch
TensorFlow
Large Language Models (LLM)
Model training and fine-tuning
Generative AI
Foundation models
Accelerated computing
High-Performance Computing
Data analytics
Interpersonal skills
Analytical skills
Organization and time management
Self-motivation
Collaboration
Social 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