Senior Full Stack Engineer, Deep Learning Algorithms

Join NVIDIA as a Senior Full Stack Engineer

NVIDIA is seeking a passionate and skilled Senior Full Stack Engineer to join our team focused on deep learning algorithms. In this role, you will be part of a dynamic team building software that will be used globally in the AI industry. You will work alongside top-tier software engineers to implement a large-scale toolset that tests deep learning models and frameworks on the most powerful computers available.

Key Responsibilities

• Automate and Optimize Testing: You will automate and optimize the testing of deep learning models and AI services across various data domains, with a focus on inference.
• Develop Shared Utilities: Create utilities for setting up systems, running tests, recording results, and visualizing data on dashboards.
• Configure and Maintain Solutions: Work with industry-standard tools such as GitLab, Docker, and ElasticSearch to configure, maintain, and build solutions.
• Lead Best Practices: Establish best practices for building, testing, and releasing software, including AI services and deep learning models.
• Identify Infrastructure Needs: Translate infrastructure needs into actionable solutions.
• Build Tools for Automation: Develop tools for automatic content generation to save engineering hours.

What We Need To See

• Educational Background: BSc or MS degree in Computer Science, Computer Architecture, or a related technical field.
• Experience: Over 5 years of experience in software development.
• Technical Skills: Excellent Python programming skills and a deep understanding of object-oriented programming concepts.
• Development Experience: Experience in building both back-end services (e.g., Flask, FastAPI, Django) and front-end applications (e.g., JS, React, Vue, Dash, Streamlit).
• Deep Learning Knowledge: Understanding of deep learning sufficient to benchmark DL models.
• DevOps Familiarity: Familiarity with DevOps concepts such as CI/CD, Docker, Jenkins, and automation tools.
• Soft Skills: Strong time-management, organizational skills, and good communication and documentation habits.

Ways To Stand Out

• Containerization Expertise: Deep understanding of containerization technologies such as Docker.
• Monitoring Solutions: Experience in building monitoring or dashboarding solutions.
• CI Pipeline Configuration: Hands-on experience in configuring complex CI pipelines.
• HPC Experience: Experience with HPC-based compute clusters and scheduling solutions like Slurm or orchestration tools such as Kubernetes.
• Cloud Environment: Hands-on experience working in a cloud environment.

Why NVIDIA?

NVIDIA is widely considered 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.

Join us and be part of the team that is building the future of AI and deep learning technologies.

#deeplearning