Silicon Performance, Power and Binning Tools Engineer

Job Title

Silicon Performance, Power and Binning Tools Engineer

Role Summary

Work on the silicon-layer toolchain that converts simulation outputs (power, noise, binning yields, and related data) into firmware tuning, product specifications, and manufacturing limits. The role centers on integrating tools, building pipelines, and applying AI to automate analysis, validation, and data movement across simulation, firmware, and manufacturing workflows.

Experience Level

Mid-level — 4+ years of relevant hardware/software experience.

Responsibilities

Primary responsibilities include building production pipelines, applying AI across the toolchain, and ensuring data quality and observability for releases.

• Design and own data pipelines that translate raw simulation outputs into firmware parameters, product specs, and manufacturing limits.
• Develop and deploy LLM/agent-based automation for analysis, validation, and reporting tasks.
• Implement observability, schema validation, and integration tests to detect data errors before release.
• Collaborate with silicon architecture, firmware, manufacturing, and product teams to operationalize workflows into production.

Requirements

Must-have technical skills and experience; nice-to-have items listed separately.

• Must have: 4+ years in a hardware/software role involving digital design, circuit analysis, computer architecture, silicon speed and power, BIOS/drivers, or related areas.
• Must have: Proficiency with scripting and tooling such as Perl or Python, experience with databases and web applications.
• Must have: Strong fundamentals in algorithms and object-oriented programming; ability to decompose complex problems into reusable solutions.
• Must have: Hands-on experience applying LLMs to engineering problems (agents, MCP, RAG) and shipping LLM-backed features in production; experience debugging those systems.
• Must have: Strong instincts for data quality: automated checks, schema validation, and integration tests for pipeline reliability.
• Nice to have: Silicon product proficiency (speed, power, voltage noise, binning); familiarity with MCP, DSPy, LLM evaluation frameworks; experience building dashboards and visualizations for cross-functional teams.

Education Requirements

BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or Systems Engineering, or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.