# Staff Engineer, GPU Front-End Infrastructure/ Methodology

Hiring organization: [Samsung Semiconductor](https://career.thegoodapps.co/organizations/samsung-semiconductor)

Canonical page: https://career.thegoodapps.co/jobs/e1632093-ade0-4b9a-9970-cf6fe2924c6f

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

- Employment type: full time
- Seniority: Senior
- Salary: 151000 – 226600 USD per year

## Summary

This role shapes GPU and SoC design methodologies at Samsung, balancing infrastructure tooling with hands-on collaboration across architecture and verification teams. It suits experienced engineers comfortable with both Linux systems programming and RTL flows, who want to remove friction from design pipelines and help scale high-performance chip development.

_Our summary, not Samsung Semiconductor's wording._

## Skills named

C++, Docker, GNU Make, Go, Kubernetes, Linux, OpenShift, Perl, Python, Ruby, Shell Scripting

## Required

- 6+ years experience with Bachelor's in Computer Science/Engineering, or 4+ with Master's, or 2+ with Ph.D.
- Experience designing and building agentic AI tools and workflows
- Proficiency in multiple Unix/Linux programming languages
- Deep Linux system expertise including debugging
- DevOps practices and build automation background
- Experience with containerized environments and orchestration platforms
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Proven cross-functional collaboration ability

## Nice to have

- Familiarity with RTL design concepts and testbench environments

Apply on Samsung Semiconductor's site: https://sec.wd3.myworkdayjobs.com/en-US/Samsung_Careers/job/3900-N-Capital-of-Texas-Hwy-Austin-TX-USA/Staff-Engineer--GPU-Front-End-Infrastructure--Methodology_R117204