Silicon Performance, Power and Binning Tools Engineer

Chinaonsitemid

Posted today · via Workday

About this role

Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production. Over 200 product SKUs were optimized during the Blackwell generation alone! Now we're looking for an engineer to help us rebuild that toolchain around AI. We focus on the silicon layer of NVIDIA's productization work: the chip behavior piece. Our tools run the simulation, configuration, and data flow that take a chip's power, performance, and yield from pre-silicon estimates through to the values that ship in firmware and populate customer specs. This role is about making those tools talk to each other better, using AI to optimally move outputs from simulation into the downstream firmware, manufacturing, and specification systems that consume them.…

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: python, perl, teams

2

Level fit

This role is mid-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 China. 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.

pythonperlteams

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