Staff GPU Front-End RTL Methodology Engineer

Bzpp; United States; On-site; USD 151,000 - 227,000; Full time

Benefits offered by this job

Medical Insurance

Tuition Assistance

Paid Time Off

Job summary

Samsung Austin Research and Development Center (SARC) and ACL are seeking a Staff GPU Front-End Implementation Methodology Engineer. You will define front-end RTL methodologies for GPU/SoC designs, drive scalable RTL flows, and enable an AI-driven workflow, collaborating with architecture, verification, CAD, and physical design teams to uphold high-performance and low-power goals.

You will own the RTL flow and build system, contribute to the RTL CI/CD system, and support software initiatives

Qualifications

• Hands-on experience designing and building agentic AI tools and workflows.
• Proficiency in Unix/Linux programming including Python, C++, Perl, Ruby, Go, and shell scripting.
• Deep Linux system expertise and debugging complex system-level issues.

Responsibilities

• Shape and advance front-end RTL implementation methodologies for GPU and SoC designs.
• Own and evolve the RTL flow and build system, including AI workflow support.
• Lead projects to advance best practices and stay ahead of industry trends.

Skills

Python

C++

Perl

Ruby

Go

Shell scripting

Education

Bachelor’s Degree in Computer Science/Engineering

Master’s Degree in Computer Science/Engineering

Ph.D.

Tools

GNU Make

Docker

Kubernetes

OpenShift

Job description

Samsung Austin Research and Development Center (SARC) and ACL are seeking a Staff GPU Front-End Implementation Methodology Engineer. You will define front-end RTL methodologies for GPU/SoC designs, drive scalable RTL flows, and enable an AI-driven workflow, collaborating with architecture, verification, CAD, and physical design teams to uphold high-performance and low-power goals.

You will own the RTL flow and build system, contribute to the RTL CI/CD system, and support software initiatives