NVIDIA, a global leader in accelerated computing and AI technology, is seeking a Senior AI-HPC Storage Engineer to join their GPU AI/HPC Infrastructure team. This role offers an exciting opportunity to work at the forefront of AI and high-performance computing, designing and implementing cutting-edge storage solutions for demanding deep learning and computational workloads.
The position combines expertise in distributed systems, storage architecture, and cloud computing, requiring both technical depth and strategic thinking. You'll be responsible for developing next-generation storage solutions that power NVIDIA's GPU compute clusters, working with state-of-the-art technology in AI and HPC environments.
As a senior engineer, you'll collaborate with researchers and developers across teams, optimizing performance for AI/HPC workloads and implementing automation solutions for large-scale infrastructure environments. The role offers exposure to cutting-edge technologies including NVIDIA GPUs, deep learning frameworks, and advanced networking solutions.
NVIDIA offers a competitive compensation package with a base salary range of $180,000 to $339,250, plus equity and comprehensive benefits. The company's commitment to innovation, coupled with its significant impact on AI and digital twins technology, makes this an exceptional opportunity for experienced engineers looking to work on challenging problems at scale.
The hybrid work environment and multiple location options (Santa Clara, Westford, or Austin) provide flexibility while working with some of the most talented professionals in the industry. This role is ideal for someone passionate about storage infrastructure, distributed systems, and the application of these technologies in AI and HPC environments.