Staff Engineer, GPU Front-End Infrastructure/ Methodology

Samsung Electronics

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
Austin, TXSan Jose, CA
Salary
$151,000–$251,800 / yr
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today
Closes
Jun 30, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $221k
This role $201k
$136k $293k
below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $196,750–$246,000 — the blue band above. At the midpoint, this role pays about $201k versus about $221k 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 85 roles with salary data.

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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 at SARC/ACL to shape front-end implementation methodologies for high-performance, low-power GPU and SoC designs. As a mid-to-senior individual contributor, you will own the RTL flow and build system, including support for an agentic AI workflow. You will partner with architecture, verification, CAD, and physical design groups to define best practices and quality standards. Key responsibilities include developing RTL CI/CD systems, operational metrics collection, and custom web applications. Required skills include proficiency in Python, C++, Perl, Ruby, Go, and shell scripting, along with deep Linux system expertise. You must also possess experience with DevOps practices, GNU Make, and containerized orchestration platforms like Docker, Kubernetes, and OpenShift to solve complex hardware design challenges.

What does a Engineer earn in Texas?

Median $182000 from 41 postings across 16 companies.

See salary data

What you'll do

  • Drive front-end RTL implementation methodologies for GPU and SoC designs to ensure scalability and performance.
  • Own and evolve the RTL flow and build system, including support for agentic AI workflows.
  • Develop and maintain the RTL CI/CD system and operational metrics collection and reporting.
  • Create and manage custom web applications and open-source tool provisioning.
  • Define and uphold best practices, design guidelines, and quality standards for architecture and physical design groups.
  • Remove friction from front-end workflows to empower design and verification teams to work more efficiently.
  • Lead moderate-to-complex projects to advance best practices and stay ahead of emerging industry technologies.

What we're looking for

  • Must have a Bachelor’s Degree in Computer Science/Engineering with 5+ years of experience, a Master’s with 3+ years, or a Ph.D. with 1+ years.
  • Must have hands-on experience designing and building agentic AI tools and workflows.
  • Must be proficient in Unix/Linux programming languages including Python, C++, Perl, Ruby, Go, and shell scripting.
  • Must have deep Linux system expertise, including debugging complex system-level issues.
  • Must have a solid background in DevOps practices, build automation, and build systems including GNU Make.
  • Must have experience with containerized environments and orchestration platforms such as Docker, Kubernetes, and OpenShift.
  • Must possess strong analytical skills, excellent communication skills, and the ability to collaborate across global, cross-functional teams.
  • Export Control This role may require access to information subject to U.S. export control laws.

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