Senior Software Engineer, Data Center Workloads - Infrastructure

As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on NVIDIA rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on our next-generation systems.

What youll be doing:

Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.

Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.

Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.

Investigate system behav

דרישות:

What we need to see:

B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.

5+ years of software engineering experience, preferably in system software, infrastructure, validation, or performance-focused environments.

Strong programming skills in Python and at least one system-level language such as C/C++.

Experience developing automation and test infrastructure for complex hardware/software systems.

Hands-on experience running, debugging, or optimizing AI, HPC, or large-scale system workloads.

Good understanding of system-level architecture, including interactions across hardware, firmware, drivers, operating systems, and application layers

Experience working in Linux environments and with scripting, telemetry, logging, and data analysis tools.

Strong debugging and problem-solving skills, with the ability to work across multiple engineering disciplines.

Good communication skills and the ability to drive technical work in a fast-paced, cross-functional