Senior GPU Supercomputer Scheduler Engineer

NVIDIA, a pioneer in GPU technology and AI innovation, is seeking a Senior GPU Supercomputer Scheduler Engineer to join their dynamic team. This role sits at the intersection of high-performance computing and artificial intelligence, offering a unique opportunity to work on groundbreaking technology that powers some of the world's most demanding computational workloads.

As a member of the Scheduling team, you'll be at the forefront of designing and implementing cutting-edge GPU compute clusters that handle complex deep learning and HPC workloads. The position requires expertise in HPC batch schedulers and a deep understanding of system architecture, offering the chance to make significant improvements to how large-scale GPU workloads are managed and executed.

The role combines technical leadership with hands-on development, requiring both strategic thinking and practical implementation skills. You'll work closely with technical leaders to solve some of the most challenging problems in machine learning and cloud computing, while also supporting and optimizing the infrastructure that powers NVIDIA's computational capabilities.

This position offers competitive compensation ranging from $148,000 to $287,500, plus equity and benefits. With locations in major tech hubs including Santa Clara, Austin, Durham, and Westford, you'll be part of a company that has continuously reinvented itself over two decades and remains at the forefront of technological innovation.

For the right candidate, this role presents an exceptional opportunity to work with cutting-edge technology while making a significant impact on the future of GPU computing and artificial intelligence. The hybrid work environment and NVIDIA's strong commitment to fostering a diverse and inclusive workplace make this an attractive position for experienced engineers looking to advance their careers in high-performance computing.