Senior MLOps Engineer, Deep Learning Algorithms

Join the team building software which will be used by the entire world. Work with high class software engineers to implement a large scale toolset that tests deep learning models and frameworks on the most powerful computers. Ability to work in a multifaceted, fast-paced environment is required as well as strong social skills. In this role you will be interacting with internal partners, users, and members of the open source community to implement solutions for building, testing, integrating, and releasing of NVIDIA Deep Learning Frameworks on the most powerful, enterprise-grade GPU clusters capable of hundreds of Peta FLOPS. This role spans multiple products such as TensorFlow, PyTorch and MxNet. Are you ready for this challenge? 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, GitHub, Jenkins, Docker, Bash).Lead 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 MS degree in Computer Science, Computer Architecture or related technical field, or equivalent experience.5+ years of work experience in software development.Excellent Python programming skills.Knowledge and love for DevOps/MLOps practices.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 environmentsExperience with containerization technologies such as DockerHands-on in creating integration, delivery and deployment pipelines for ML/DL productsFamiliarity with large-scale distributed computing systems and cloud platforms.Experience with HPC based compute clusters and scheduling solutions like Slurm NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented 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.#deeplearning