Nvidia Senior MLOps Engineer Deep Learning Algorithms 

United States, Texas 

548679880

What You’ll Be Doing:

• Automating and optimizing testing of Deep Learning models from different data domains.

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

• Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. GitLab, Kubernetes, Docker, Terraform).

• Be part of the architecture and design decisions for backend, infrastructure and software release.

• Leading best-practices for building, testing, and releasing software.

• 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 MSc degree in Computer Science, Computer Architecture or related technical field, or equivalent experience.

• 6+ years of work experience in software development.

• Excellent Python programming skills.

• Knowledge and love for DevOps/MLOps practices.

• Experience in architecture and system design.

• Strong experience in setting up, maintaining, and automating continuous integration systems.

• Willing to take action and have strong analytical skills.

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

• Algorithms and AI fundamentals.

• Good communication and documentation habits.

Ways To Stand Out From The Crowd:

• Solid understanding of Linux environments

• Experience with containerization technologies such as Docker

• Hands-on in creating integration, delivery and deployment pipelines for ML/DL products

• Familiarity with large-scale distributed computing systems and cloud platforms.

• Experience with HPC based compute clusters and scheduling solutions like Slurm