Senior System Software Engineer - MLOps

NVIDIA is seeking a Senior System Software Engineer to join their GPU-accelerated deep learning software team, specifically working on the Triton Inference Server. This role combines software engineering expertise with MLOps, focusing on building and maintaining infrastructure for AI model deployment. The position offers an opportunity to work with cutting-edge technology in deep learning, contributing to tools that make AI more accessible to data scientists worldwide.

The role involves designing and implementing robust CI/CD pipelines, ensuring cross-platform compatibility, and optimizing deployment processes for deep learning models. You'll be working with modern technologies like Docker and Kubernetes while collaborating with cross-functional teams to integrate various deep learning frameworks.

NVIDIA, as the world leader in accelerated computing, offers a competitive compensation package including a base salary range of $148,000 - $287,500, plus equity and benefits. The company is known for its innovative work in AI and digital twins, transforming major industries globally. This position provides an excellent opportunity to work with experienced professionals in a fast-paced, agile environment while contributing to significant advancements in deep learning technology.

The ideal candidate will have strong programming skills in Python and Bash, experience with CI/CD practices, and knowledge of distributed systems. Experience with cloud platforms, container technologies, and open-source contributions would be particularly valuable. This role offers the chance to influence the direction of AI infrastructure while working for one of technology's most desirable employers.