Principal Engineer, CUDA UMD - GPU Kernel Scheduling

USonsiteprincipal

Posted today · via Workday

About this role

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device drivers who has phenomenal C/C++ skills? If so, this role might be for you.…

Read the full description on Nvidia's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: c++, mode, teams

2

Level fit

This role is principal-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in US. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

c++modeteams

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