Teams at NVIDIA

Design, develop, test, and extend NVIDIA’s large-scale object storage platform. Responsibilities include improving availability, reliability, durability, fault tolerance, and performance across deployments exceeding 10,000 nodes and exabytes of data. The role also automates storage infrastructure provisioning, management, and monitoring; supports AI/ML research teams; owns product delivery through support; and contributes to open-source storage projects.

Develop HPC and AI software workflows for experimental data processing, imaging, plasma, high-energy physics, and materials simulations. Profile applications, benchmark performance, identify bottlenecks, and advise collaborators and product teams. Build tutorial examples, translate research into software tools, and represent NVIDIA at scientific conferences and industry events.

Design, build, and operate NVIDIA’s hosted Apache Spark acceleration service across Kubernetes, AWS, GPU Spark runtime, and workload-routing layers. Develop Java and Scala services, integrate data lake technologies, investigate large-scale production failures, maintain observability and runbooks, participate in on-call, and guide infrastructure, CI, and testing decisions.