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Senior DL Performance Infrastructure and MLOps Engineer
1 miesiąc temu
NVIDIA is seeking a highly skilled Senior DL Performance Infrastructure and MLOps Engineer to join our team. As a key member of our DL Architecture team, you will be responsible for designing and implementing high-performance infrastructure and MLOps solutions to support our deep learning workloads.
Key Responsibilities:- Design and implement high-performance infrastructure solutions to support deep learning workloads.
- Develop and maintain MLOps pipelines to streamline the deployment of deep learning models.
- Collaborate with cross-functional teams to identify and prioritize infrastructure and MLOps requirements.
- Stay up-to-date with the latest advancements in deep learning and infrastructure technologies.
- MS degree in CS or adjacent fields or equivalent experience.
- 3+ years of relevant work experience.
- Background in deep learning fundamentals and common deep learning software, especially PyTorch/JAX.
- Experience in GPU computing, i.e. fundamental understanding of heterogeneous multi-node accelerated computing systems.
- Background in analyzing and optimizing application performance.
- Familiarity with containerized CI/CD flows, e.g. gitlab + docker.
- Programming skills in C++, Python, and CUDA.
- Deep passion related to tools, scripts, and automation.
NVIDIA is a leader in the technology industry, and we are committed to creating a work environment that is inclusive, diverse, and rewarding. If you are a motivated and talented individual who is passionate about deep learning and infrastructure, we encourage you to apply for this exciting opportunity.
