NVIDIA is seeking a Senior Engineer to join their RAPIDS Operations team, focusing on system administration. RAPIDS is NVIDIA's open-source suite for GPU-accelerated data science, serving customers from individual data scientists to Fortune 500 companies. The role involves managing server lab environments, cloud deployments, and infrastructure automation.
The ideal candidate will bring strong Linux administration skills, cloud services expertise (AWS/GCP/Azure), and experience with container technologies. They'll work closely with development teams to support and grow the RAPIDS project, handling C++ and Python libraries and containers. The position requires 5+ years of experience and offers opportunities to work with cutting-edge technology in GPU-accelerated computing.
NVIDIA, recognized as one of technology's most desirable employers, offers a competitive compensation package including a base salary range of $144,000-$270,250, equity, and comprehensive benefits. The company values diversity and innovation, making it an ideal environment for creative and autonomous professionals looking to make an impact in accelerated computing and AI.
The role combines technical expertise with strategic thinking, requiring skills in automation, CI/CD, and open-source development. Working at NVIDIA means joining a team of forward-thinking professionals while contributing to transformative technologies in data science and machine learning.