Staff Engineer, GPU Front-End Infrastructure – Methodology

Samsung Electronics

Staff GPU Front-End Implementation Methodology Engineer shaping front-end implementation methodologies for GPU designs at Samsung. Collaborating with cross-functional teams to ensure high-quality scalable RTL.

Posted 7/31/2026full-timeAustin • California, Texas • 🇺🇸 United StatesLead💰 $151,000 - $226,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in front-end RTL implementation methodologies for GPU and SoC designs, with a strong focus on scalability, performance, and power objectives. Proficient in developing agentic AI tools and workflows, while fostering collaboration across design and verification teams to enhance efficiency and uphold best practices.

Highest-signal resume keywords

Front-End RTL ImplementationAgentic AI Tools DevelopmentUnix/Linux Programming (Python, C++, Perl, Ruby, Go)DevOps Practices and Build AutomationContainerization (Docker, Kubernetes, OpenShift)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Front-End RTL ImplementationAgentic AI Tools DevelopmentUnix/Linux ProgrammingDevOps PracticesBuild AutomationGNU MakeContainerizationDebugging Complex System-Level IssuesAnalytical Problem-SolvingRTL Design Concepts

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationCollaboration Across TeamsAdaptability in Fast-Paced EnvironmentsMethodical Approach to Debugging

Tools & Technologies

DockerKubernetesOpenShiftCI/CD SystemsCustom Web Application Development

Industry Keywords

GPU DesignsSoC DesignsDesign VerificationQuality StandardsPerformance ObjectivesLow-Power Goals

Tech Stack

Tools & technologies

DockerGoKubernetesLinuxOpenShiftPerlPythonRubyShell ScriptingUnix

About the role

Key responsibilities & impact

Shape and advance the front-end implementation methodologies that underpin high-quality, scalable RTL across complex GPU and SoC designs
Serve as a key enabler for design and verification teams — helping them work faster, with greater confidence, and at scale
Partner closely with architecture, verification, CAD, and physical design groups to define and uphold best practices, design guidelines, and quality standards that align with high-performance and low-power goals
Own and evolve the RTL flow and build system, including support for an agentic AI workflow
Contribute to a broader portfolio of software initiatives: the RTL CI/CD system, operational metrics collection and reporting, custom web application development, and open-source tool provisioning
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

Requirements

What you’ll need

6+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 4+ years of experience with a Master’s Degree, or 2+ years of experience 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
Deep Linux system expertise, including debugging complex system-level issues
Solid background in DevOps practices, build automation, and build systems, including GNU Make
Experience with containerized environments and orchestration platforms, including Docker, Kubernetes, and OpenShift
Strong analytical and problem-solving skills with a methodical approach to debugging
Excellent written and verbal communication skills, with a track record of producing clear technical documentation, design specs, and methodology guides
Proven ability to collaborate effectively across global, cross-functional teams and thrive in fast-paced, ambiguous environments
Familiarity with RTL design concepts and testbench environments is a plus.

Benefits

Comp & perks

medical
dental
vision
life insurance
401(k)
onsite lunch
employee purchase program
tuition assistance (after 6 months)
paid time off
student loan program
wellness incentives