Senior Full Stack Engineer, Deep Learning Algorithms

Senior Full Stack Engineer, Deep Learning Algorithms

Join the team building software which will be used by the entire world of AI. Work with high class software engineers to implement a large scale toolset that tests deep learning models and frameworks on the most powerful computers. Strong social skills are necessary alongside the capacity to thrive in a fast-paced, multifaceted setting. 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 AI Services and Deep Learning Frameworks on the most powerful, enterprise-grade GPU clusters capable of hundreds of Peta FLOPS. This role spans multiple products such as PyTorch, TensorFlow, JAX, PaddlePaddle. You will work with internal engineering teams to deploy and operationalize AI models and services at scale by driving adoption for end-to-end Machine Learning and Deep Learning solutions in the cloud and on prem.

We are seeking passionate 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:

1. Automating and optimizing testing of Deep Learning models and AI Services from different data domains with focus on inference.
2. Developing shared utilities for setting up systems, running tests, recording results, and visualization on dashboards.
3. Configuring, maintaining, and building solutions on industry-standard tools (e.g. GitLab, Docker, ElasticSearch etc).
4. Leading best-practices for building, testing, and releasing software including AI Services and DL models.
5. Identifying infrastructure needs and translating them into action.
6. Building tools for automatic content generation mechanisms that save dozens of engineering hours.

What we need to see:

1. BSc or MS degree in Computer Science, Computer Architecture or related technical field.
2. 5+ years of work experience in software development.
3. Excellent Python programming skills, and a deep understanding of OOP concepts.
4. Experience in building both back-end services (e.g Flask, FastAPI, Django) and front-end (e.g. JS, React, Vue, Dash, Streamlit).
5. Understanding of Deep Learning on the level that allows benchmarking DL models.
6. Familiarity with DevOps concepts such as CI/CD, Docker, Jenkins, and automation tools.
7. Strong time-management and organization skills for coordinating multiple initiatives and priorities.
8. Ability to utilize new technologies and products in very complex projects.
9. Good communication and documentation habits.

Ways to stand out from the crowd:

1. Deep understanding of containerization technologies such as Docker.
2. Experience in building monitoring or dashboarding solutions.
3. Experience with HPC based compute clusters and scheduling solutions like Slurm or familiarity with orchestration tools such as Kubernetes.
4. Hands-on experience working in a 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.

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