# Senior Applied AI Engineer, Product Simulation

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-AI-Engineer--Product-Simulation_JR2018441?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_65e56adf-ea8

## Description

## Senior Applied AI Engineer, Product Simulation

Apply

locationsUS, CA, Santa Clara

Time TypeFull time

Posted onPosted Yesterday

Job Requisition IDJR2018441

We are looking for a Senior Applied AI Engineer to join our Silicon Co-Design Group (SCG) in Santa Clara, CA. As a key member of our team, you will play a critical role in rebuilding our toolchain around AI, focusing on the silicon layer of NVIDIA's productization work.

Our tools take a chip from pre-silicon estimates through to the values that ship in firmware and populate customer specs. This role centers on the simulation and configuration engines that feed the firmware, manufacturing, and specification systems downstream, and how AI will optimize & automate every step.

### What you'll be doing:

- Help simulate power controller interplay, voltage-frequency operating points, and binning yields. Build the systems that push performance and power efficiency toward the speed of light.

- Turn your understanding of silicon & firmware behavior into context engineering. Break down the silicon product optimization workflows into composable skills, hybrid retrieval stages, and orchestration layers.

- Integrate silicon productization tools into a custom agent harness: define the tool registries (CLIs & MCPs), webhooks, trace capture, and human-in-the-loop checkpoints.

- Lead eval-driven development for applied AI in production: error analysis on real silicon workflows, automated scorers of HW reasoning, CI regression gates that protect product quality.

- Help set the team's AI direction. Mentor and grow the engineers around you. The silicon expertise here is strong; the AI bar is yours to raise.

### What we need to see:

- BS or MS in EE/CE/CS (or equivalent experience) and 8+ years in silicon bringup, firmware, or productization engineering.

- Have deployed multiple production Python services and data pipelines, including at least one LLM-backed system that SMEs depend on for their everyday work.

- Can read silicon characterization outputs (speed, power, voltage noise, or binning) and know the tradeoffs between them.

- Have a working opinion of new AI tooling within a week of release. Not from reading the blog post. From running it.

### Benefits

You will also be eligible for equity and benefits.

### Application Deadline

Applications for this job will be accepted at least until June 13, 2026.

### NVIDIA's Commitment to Diversity and Inclusion

NVIDIA uses AI tools in its recruiting processes.

## Skills

### Required
- Python
- AI
- Silicon bringup
- Firmware
- Productization engineering
- LLM-backed system
- Silicon characterization outputs
- AI tooling

---

Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Applied-AI-Engineer--Product-Simulation_JR2018441?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)