Principal Engineer, GPU Architect – Modeling

Job not on LinkedIn

🕒 May 20

🏢🏡 San Jose – Hybrid

💵 $221.7k - $364.8k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Logo of Samsung Electronics

Samsung Electronics

WebsiteLinkedIn

10,000+ employees

🔧 Hardware

🛍️ eCommerce

Hardware • eCommerce • Consumer Electronics

Samsung Electronics is a global leader in technology, specializing in the manufacturing of consumer electronics, home appliances, and advanced communication systems. The company offers a wide range of products including smartphones, televisions, audio systems, and home appliances, combining innovative design with cutting-edge technology. Samsung is also at the forefront of developments in AI and the SmartThings ecosystem, promoting connectivity and automation in home environments.

📋 Description

• 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

• 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

• 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

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