Staff GPU Front-End RTL & Methodology Engineer

Samsung Electronics; San Jose (CA); On-site; USD 151,000 - 227,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Onsite lunch

Employee purchase program

Tuition assistance

Paid time off

Student loan program

Wellness incentives

Job summary

Samsung Electronics, at the SARC/ACL labs, seeks a Staff GPU Front-End Implementation Methodology Engineer to advance RTL front-end workflows for high-performance GPU/SoC designs.

You will collaborate with architecture, verification, CAD, and design teams to define and uphold best practices, own the RTL flow and build system, and contribute to CI/CD, metrics, and open-source tooling, enabling scalable, energy-efficient IP.

Qualifications

• 6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years with a Master’s Degree, or 2+ years with a Ph.D.
• Hands-on experience designing and building agentic AI tools and workflows
• Proficiency across a broad range of Unix/Linux programming languages, including Python, C++, Perl, Ruby, Go, and shell scripting

Responsibilities

• Empower design and DV teams to work efficiently by removing friction from front-end workflows and proactively addressing methodology gaps
• Drive front-end RTL implementation methodologies for GPU and SoC designs, ensuring scalability, architectural alignment, and adherence to performance and power objectives
• Take ownership of moderate-to-complex projects, leading efforts to advance best practices and staying ahead of industry trends and emerging technologies

Skills

Agentic AI tools

Python

C++

Perl

Ruby

Go

Shell scripting

Linux debugging

DevOps & build automation

RTL concepts familiarity

Technical documentation

Cross-functional collaboration

Education

Bachelor’s Degree in Computer Science/Engineering

Master’s Degree in a relevant field

Ph.D.

Tools

Docker

Kubernetes

OpenShift

Job description

Samsung Electronics, at the SARC/ACL labs, seeks a Staff GPU Front-End Implementation Methodology Engineer to advance RTL front-end workflows for high-performance GPU/SoC designs.

You will collaborate with architecture, verification, CAD, and design teams to define and uphold best practices, own the RTL flow and build system, and contribute to CI/CD, metrics, and open-source tooling, enabling scalable, energy-efficient IP.