Senior AI/ML Architect, Applied Field Engineering
Snowflake$155,600 - $216,600/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess a Bachelor’s degree in Electrical Engineering or Computer Science, or an equivalent degree, with a minimum of five years of professional work experience. Strong proficiency in Python, Go, or Java is required, along with experience working with SQL/NoSQL database systems such as MySQL, MongoDB, or Elasticsearch. Familiarity with distributed systems, microservice architecture, and REST APIs is also essential.
Responsibilities
As a Senior AI and ML Engineer, you will be responsible for implementing AI/ML/DL use cases to improve efficiency in software development, DevOps, and SRE workflows. This includes identifying problems related to performance, utilization, and scale in existing systems, providing innovative solutions, and collaborating with architects and other developers to build and maintain large-scale distributed applications. You will also work with LLMs and agentic AI to automate workflows and enhance the productivity of engineers across NVIDIA’s internal teams.
Skills
Large Language Models
AI
Machine Learning
Deep Learning
DevOps
SRE
Workflow Automation
Performance Optimization
Data Analysis
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.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees