← All roles

Silicon Performance, Power and Binning Tools Engineer

NVIDIA· Engineer, Sys SW
Apply on company site
Shanghainot specifiedPosted 1mo ago

About the role

Engineer to rebuild and optimize the toolchain that processes silicon performance, power, and binning data from pre-silicon estimates to firmware, manufacturing limits, and customer specs, leveraging AI and LLMs to automate analysis, validation, and reporting across the toolchain.

Responsibilities

  • Build the infrastructure that turns raw simulation data (power, noise, binning yields, and more) into real firmware tuning, product specs, and manufacturing limits. Own the pipelines between tools.
  • Use LLMs and agents across the toolchain to automate the analysis, validation, and reporting work that currently costs engineering countless hours per chip.
  • Build the observability and validation systems that catch data errors and inconsistencies before they turn into release blockers.
  • Work with product convergence, silicon architecture, firmware, and manufacturing teams to translate new hardware requirements and capabilities into workflows that make it to production.

Qualifications

  • BS/MS in CS, CE, EE, or Systems Engineering, or equivalent experience.
  • 4+ years of experience in a related hardware/software position
  • Strong understanding of digital design, circuit analysis, algorithms, computer architecture, silicon speed and power, BIOS, drivers, and software applications
  • Experience with Perl/Python, databases, and web applications
  • Strong fundamentals in software algorithms and object-oriented programming. Ability to divide complex problems into simple sub-problems and reuse solutions
  • Hands-on experience applying LLMs to engineering problems: agents, MCP, RAG, or evaluation pipelines. Have shipped an LLM-backed feature in production and can discuss debugging experiences
  • Strong instincts for data quality: automated checks, schema validation, and integration tests to maintain pipeline trustworthiness
  • Ability to keep up with a fast-paced AI landscape and discern impactful tools from hype

Skills

Required:PythonSoftware design and architectureLLMs / AI integration
Nice to have:Perl

Benefits

  • not specified
Last updated Sep 18, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA