# Applied Research Engineer, Chip Design

Hiring organization: [NVIDIA](https://career.thegoodapps.co/organizations/nvidia)

Canonical page: https://career.thegoodapps.co/jobs/55964a95-c783-4e56-b16c-96a4a8dea085

Listed on NVIDIA's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Santa Clara, CA
- Salary: 192000 – 356500 USD per year

## Summary

This role applies advanced AI techniques like large language models and agentic systems to accelerate NVIDIA's actual chip design workflows, from RTL generation through verification and optimization. It suits experienced researchers who want to bridge AI research and production silicon, working closely with internal design teams to measure success by concrete engineering velocity rather than academic output.

_Our summary, not NVIDIA's wording._

## Skills named

CI/CD, Docker, Monte Carlo Simulation, Python, Reinforcement Learning

## Required

- MS or PhD in Computer Science, Electrical/Computer Engineering, or equivalent
- 8+ years of industry experience
- Front-end ASIC design and verification expertise
- Experience building LLM-based agents with real users
- Custom model training or post-training experience (SFT, RLHF/DPO)
- Infrastructure building and maintenance (Docker, Slurm, CI/CD)
- Strong written and verbal communication

## Nice to have

- Applied research experience with agentic AI in chip design
- Experience with open-source model foundations
- Domain-specific fine-tuning on technical data

Apply on NVIDIA's site: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Applied-Research-Engineer--Chip-Design_JR2021814