Senior Full Stack Engineer, Deep Learning Algorithms

Key Skills

Aartificial intelligence, Algorithms, Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Docker, Elasticsearch, GitLab, High performance computing- HPC, Jenkins, Planning and organization, Software Development, Vue.js

Job Description

We are seeking passionate and python developers to help us scale our AI and deep learning services, platforms, models and internal tools. You will be responsible for implementing and maintaining tools, and infrastructure that enable our teams to productize NVIDIA SW stack: DL Frameworks, DL models, AI services and other tools and technologies. Are you ready for this challenge?

What you’ll be doing:

• Automating and optimizing testing of Deep Learning models and AI Services from different data domains with focus on inference

• Developing shared utilities for setting up systems, running tests, recording results and visualization on dashboards.

• Configuring, maintaining, and building solutions on industry-standard tools (e.g. GitLab, Docker, ElasticSearch etc)

• Lead best-practices for building, testing, and releasing software including AI Services and DL models

• Identifying infrastructure needs and translating them into action

• Building tools for automatic content generation mechanisms that saves dozens of engineering hours

What we need to see:

• BSc or MS degree in Computer Science, Computer Architecture or related technical field

• 5+ years of work experience in software development

• Excellent Python programming skills, and a deep understanding of OOP concepts.

• Experience in building both back-end services (e.g Flask, FastAPI, Django) services and front-end (e.g. JS, React, Vue, Dash, Streamlit)

• Understanding of Deep Learning on the level that allows benchmarking DL models

• Familiarity with DevOps concepts such as CI/CD, Docker, Jenkins, and automation tools.

• Strong time-management and organization skills for coordinating multiple initiatives and priorities.

• Ability to utilize new technologies and products in very complex projects.

• Good communication and documentation habits

Ways to stand out from the crowd:

• Deep understanding of containerization technologies such as Docker

• Experience in building monitoring or dashboarding solutions.

• Hands-on in configuring complex CI pipelines

• Experience with HPC based compute clusters and scheduling solutions like Slurm or familiarity with orchestration tools such as Kubernetes

• Hands-on experience working in cloud environment

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and forward-thinking people in the world working for us. If you're creative and autonomous, we want to hear from you! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.