Principal Engineer, GPU Architect – Modeling

Samsung Electronics

. lead teams to define the architectural vision, modeling strategy, and performance roadmap for Samsung’s next-generation mobile GPUs .

Posted 5/20/2026full-timeSan Jose • California, Texas • 🇺🇸 United StatesLead💰 $221,700 - $364,800 per yearWebsite

Tech Stack

Tools & technologies

Ray

About the role

Key responsibilities & impact

lead teams to define the architectural vision, modeling strategy, and performance roadmap for Samsung’s next-generation mobile GPUs
shape the long-term GPU architecture direction across performance, memory systems, PPA, system modeling, roadmap design, AI/ML acceleration, ray tracing, and shader and texture
guide cross-functional teams in transforming research concepts into silicon-proven capabilities
drive innovation in architectural design, modeling methodologies, and workload optimization that deliver world-class graphics performance
set technical direction across memory system, performance analysis, and PPA optimization for scalable designs
spearhead design excellence driving architecture and modeling teams to build advanced modeling frameworks and performance methodologies
drive innovation across shader, texture, and ray tracing features
champion cross-functional collaboration among hardware, software, design, and system teams
empower a culture of innovation by mentoring leaders and encouraging open communications

Requirements

What you’ll need

16+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 14+ years of experience with a Master’s Degree, or 12+ years of experience with a Ph.D.
12+ years of experience in GPU or graphics architecture, with deep expertise across multiple domains such as GPU performance analysis, memory system design, shader/texture architecture, and ray tracing.
Proven success defining and driving GPU architecture strategies that balance performance, power, and area (PPA) tradeoffs.
Deep expertise in GPU modeling methodologies—including performance simulation, microarchitectural analysis, and correlation to silicon.
Demonstrated technical leadership in driving new GPU feature development (e.g., AI/ML acceleration, ray tracing, or advanced rendering pipelines)
Strong knowledge of GPU programming models and workloads (graphics, compute, and AI inference) to translate workload characteristics into architectural innovation.
Demonstrated ability to build and grow cross-functional engineering teams while influencing technical roadmaps and business strategy.
Excellent communication and collaboration skills; ability to engage with executives, internal and external industry partners, and technical peers, and guide diverse teams through ambiguity.

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
MBO bonus compensation

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

GPU architectureperformance analysismemory system designshader architecturetexture architectureray tracingGPU modeling methodologiesperformance simulationmicroarchitectural analysisAI/ML acceleration

Soft Skills

technical leadershipcross-functional collaborationmentoringcommunicationteam buildinginfluencingguiding teamsengagement with executivesnavigating ambiguityencouraging innovation

Certifications

Bachelor’s Degree in Computer Science/EngineeringMaster’s DegreePh.D.