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NVIDIA

Designs the chips and software that power AI

Manager – Systems Software Engineering - GPU

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeRemote

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Electrical Engineering, Electronic Engineering, or a related field, or equivalent experience.
  • At least 6 years of overall experience in related areas, including at least 3 years of management experience.
  • A strong systems-software background, including hands-on C programming and debugging skills, with experience in kernel, driver, firmware, or embedded systems.
  • Demonstrated ownership of release processes and quality metrics for a shipping product.
  • Experience managing incident and critical-issue response with customer exposure.

Responsibilities

  • Lead, mentor, and develop a multidisciplinary engineering team responsible for GSP firmware stability, field debuggability, resiliency, and pre-silicon readiness for upcoming chips, from roadmap and architecture through development and validation.
  • Own GSP firmware release execution across concurrent release trains, including dedication tracking, blocker burndown, and go/no-go readiness.
  • Partner with technical leads and architects, who own technical direction, while owning team, execution, and delivery.
  • Drive measurable improvement in test coverage and stability metrics, reported monthly.
  • Coordinate architectural alignment, project scoping, prioritization, and execution accountability to deliver projects on time, within scope, and to quality standards.
  • Champion robust, high-quality GPU driver software delivery by establishing validation protocols, monitoring key performance indicators, and proactively addressing technical challenges.

Desired Qualifications

  • Proven expertise in GPU driver development and validation.
  • Experience leading distributed engineering teams across multiple time zones and regions.
  • Experience bringing up software on pre-silicon platforms such as simulation or emulation.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

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