AI Applications Architect
TuringSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, AI & Machine Learning, High Performance ComputingIndustries
Requirements
Candidates should possess 3+ years of research experience in Deep Learning, demonstrated through a track record of scientific publications, experience with Large Language Models (LLM) training and adaptation, including knowledge of floating-point arithmetic at micro-scale, a graduate degree from a leading university in a STEM related field, strong analytical skills, and self-motivation.
Responsibilities
As a Senior Solutions Architect, the individual will be an inspiring leader integrating NVIDIA technology into IT infrastructures focusing on performance at scale, reliability, manageability, and real-time monitoring, interacting with end-users in academia and industry to define and deliver high-value solutions, identifying gaps and proposing/developing prototypical solutions, demonstrating accelerated computing and AI workflows, delivering trainings using NVIDIA GPUs and software, grooming power users to be NVIDIA champions, communicating customer requirements to NVIDIA Engineering, and fostering product improvements.
Skills
Deep Learning
Large Language Models (LLM)
Accelerated Computing
AI Workflows
Scientific Simulation
Data Analytics
Performance Optimization
Real-time Monitoring
Training & Demonstration
Customer Engagement
Technical Communication
Research & Publications
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