Manager, Systems Software

NVIDIA•Santa Clara, CA

9d•$184,000 - $356,500

About The Position

NVIDIA is seeking a manager to lead a team of about 10 software engineers developing GPU stress applications for system-level validation of GPU products. The team works with architecture, ASIC, silicon characterization, and system design groups to develop methodologies that push hardware components to their limits. It builds stress-application suites for products ranging from large GPUs to small SoCs and partners with NVIDIA operations teams to balance product quality, test yield, and manufacturing throughput. The manager will oversee multiple concurrent projects through prioritization and communication, develop technical leaders, and recruit talent. The role also includes advancing agent-driven software development workflows for hardware bring-ups, finding opportunities to improve product quality and production efficiency, driving root-cause investigations of critical issues across functions, supporting corrective actions and continuous improvement, and developing long-term team strategies and execution at scale.

Requirements

Bachelor of Science in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
8+ years of overall system software experience.
Deep understanding of software development principles.
Comfort working with large code bases and deep driver stacks.
3+ years of experience managing a team.
Good programming skills in C/C++.
Solid understanding of computer architecture, operating systems, kernel drivers, and device programming.
Experience driving feature development, cross-functional alignment, and debugging.

Nice To Haves

Knowledge of memory, graphics, compute, high-speed interfaces, power management, GPU performance, and system-level performance.
Prior management and project management experience.
Prior experience transitioning traditional software development workflows to agent-driven workflows.

Responsibilities

Lead a team of about 10 software engineers developing GPU stress applications for system-level product validation.
Run multiple concurrent projects through active prioritization and communication.
Develop future technical leaders and recruit new talent.
Advance agent-driven software development lifecycle workflows for hardware bring-ups.
Seek opportunities to improve NVIDIA product quality and production efficiency.
Work cross-functionally and drive root-cause investigations of critical issues.
Embrace corrective actions and continuous improvement.
Develop long-term strategies for the team and drive execution at scale.
Partner with NVIDIA operations teams to balance product quality, test yield, and manufacturing throughput.