Staff Engineer, GPU Front-End Infrastructure / Methodology

Samsung Electronics

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Austin, TX
Salary
$151,000–$226,600 / yr
Posted
42 days ago
Freshness
Confirmed live yesterday
Closes
Jan 29, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $220k
This role $189k
$137k most similar roles pay here $282k

This role pays less than 79% of similar roles. Most pay $196,750–$244,000 — the shaded band above. At the midpoint, this role pays about $189k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Samsung Electronics

Samsung Electronics is a South Korean multinational corporation and a global leader in technology, specializing in consumer electronics, semiconductors, and home appliances.

Samsung Electronics currently has 94 open roles on FindRole.

Listed pay typically runs $106,000–$174,500 across 58 roles with salary data.

Most-posted roles

View all roles at Samsung Electronics

At a glance

TL;DR · Staff Engineer, GPU Front-End Infrastructure / Methodology

Staff Engineer, GPU Front-End Infrastructure/ Methodology will join the GPU Project and RTL team to shape and advance front-end implementation methodologies for complex GPU and SoC designs. This role focuses on creating high-quality, scalable RTL by developing tools that empower design and verification teams while ensuring alignment with performance and power goals. Key responsibilities include owning the RTL flow and build system, supporting agentic AI workflows, managing CI/CD systems, and overseeing open-source tool provisioning. The ideal candidate possesses expertise in Python, C++, Perl, Ruby, Go, and shell scripting, alongside deep Linux system knowledge. Required skills include experience with GNU Make, Docker, Kubernetes, and OpenShift. This role addresses the technical challenge of translating architectural concepts into production-ready RTL for mobile GPU IPs, specifically focusing on high-performance graphics and energy efficiency in semiconductor technology.

What does a Engineer earn in Texas?

Median $182925 from 32 postings across 8 companies.

See salary data

What you'll do

  • Develop and advance front-end implementation methodologies for high-quality, scalable RTL across GPU and SoC designs.
  • Define and uphold design guidelines, quality standards, and best practices to meet performance and power goals.
  • Own and evolve the RTL flow and build system, including support for agentic AI workflows.
  • Manage the RTL CI/CD system, operational metrics collection, and reporting tools.
  • Develop custom web applications and manage open-source tool provisioning.
  • Remove friction from front-end workflows to improve efficiency for design and verification teams.
  • Lead complex projects to integrate emerging technologies and industry trends into existing methodologies.

What we're looking for

  • Candidates must have a Bachelor's degree with 6+ years of experience, or a Master's with 4+ years, or a Ph.D. with 2+ years.
  • Applicants must have hands-on experience designing and building agentic AI tools and workflows.
  • Proficiency is required in Unix/Linux programming languages including Python, C++, Perl, Ruby, Go, and shell scripting.
  • Candidates must possess deep Linux system expertise to debug complex system-level issues.
  • Experience is required in DevOps practices, build automation, and build systems using GNU Make.
  • Experience with containerized environments and orchestration platforms like Docker, Kubernetes, and OpenShift is required.
  • Applicants must be authorized to access information subject to U.S. export control laws.

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