NVIDIA is seeking a Data Center System Software Architect for their DGX Cloud team to lead the architecture, design, and implementation of next-generation DGX cloud clusters. This role combines deep technical expertise in system software with cloud infrastructure innovation. The position requires leading hybrid cloud deployments, orchestrating workloads, and optimizing application performance across NVIDIA's AI infrastructure.
The ideal candidate will bring 10+ years of experience and advanced education in Computer Science or related fields, with expertise spanning Linux systems, Python programming, and high-level languages. They'll work at the intersection of hardware and software, leading technical activities for data centers while focusing on hybrid deployments between cloud and on-premises environments.
This is an opportunity to shape the future of AI infrastructure at NVIDIA, the world leader in accelerated computing. The role offers competitive compensation between $180,000-$339,250 plus equity, and allows for remote work options. You'll be part of a team advancing NVIDIA's capacity to build and deploy leading infrastructure solutions for AI-based applications that impact core data science.
The position demands both technical excellence and leadership skills, as you'll work across multiple engineering teams to ensure seamless integration from hardware to AI training applications. Experience with GPU deep learning, container orchestration, and NVIDIA's AI software stack would be particularly valuable. Join NVIDIA in pushing the boundaries of technological advancement in AI and cloud computing.