Software Engineer, Data Systems

About this role

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a Software Engineer, Data Systems to join our Santa Clara, CA team. This opportunity lets you work with innovative technology that changes how we analyze AI workload performance across GPU data centers. Our team builds advanced software tools to help technical users understand complex computing systems. You will manage the store, data model, and query path, converting large streams of profiling and telemetry data into useful information for engineers and automated analysis.

What you’ll be doing:

• Develop and construct the store, data model, and query path for engineering performance data. This includes ingesting, joining, storing, and delivering it at the scale of a GPU data center with low latency.
• Join profiling data with context from the rest of the system, such as hosts, schedulers, configuration, logs, and storage, ensuring each record carries the necessary identity and dimensions for comparison across jobs, machines, versions, and time.
• Take responsibility for the data contract with the teams that generate the data: establish it, version it, and transition consumers through changes without disrupting them.
• Make deliberate trade-offs among data quality, query latency, storage cost, and retention, and verify improvements in efficiency, l...