Senior MLOps Engineer, Deep Learning Algorithms
2 days ago
As a Senior MLOps Engineer, you will play a key role in building software that will be used by the entire world. You will work with high-class software engineers to implement a large-scale toolset that tests deep learning models and frameworks on the most powerful computers.
The ability to work in a multifaceted, fast-paced environment is required, as well as strong social skills. In this role, you will interact with internal partners, users, and members of the open source community to implement solutions for building, testing, integrating, and releasing NVIDIA Deep Learning Frameworks on the most powerful, enterprise-grade GPU clusters capable of hundreds of Peta FLOPS.
Key responsibilities include 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, and leading best-practices for building, testing, and releasing software.
Additionally, you will identify infrastructure needs and translate them into action, building tools for automatic content generation mechanisms that save dozens of engineering hours.
Requirements include a BSc or MSc degree in Computer Science, Computer Architecture, or a 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, and willingness to take action and have strong analytical skills.
Preferred qualifications include solid understanding of Linux environments, experience with containerization technologies such as Docker, hands-on experience in creating integration, delivery, and deployment pipelines for ML/DL products, familiarity with large-scale distributed computing systems and cloud platforms, and experience with HPC-based compute clusters and scheduling solutions like Slurm.
NVIDIA offers a competitive base salary range of $180,000 - $339,250 USD, as well as equity and benefits. We are committed to fostering a diverse work environment and are proud to be an equal opportunity employer.
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