Principal System Architect, GPU

Job not on LinkedIn

November 12

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Logo of NVIDIA

NVIDIA

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Define and drive architecture for complex, high-volume GPU products, ensuring they meet our ambitious performance and scalability goals. • Perform and guide power and performance evaluation, trade-off assessments, and architectural modeling to identify optimal chip, package and system construction. • Lead improvements in architecture, methodology and tools to improve the scalability of our system, collaborating closely with cross-functional engineering teams. • Specify and optimize SoC subsystems such as memory architecture, test infrastructure and power management. • Collaborate with RTL, verification, physical design, firmware, and software teams to successfully implement and integrate system components. • Produce high-quality technical documentation of SoC architecture, specifications, and development trade-offs. • Provide technical leadership and mentorship to junior architects and engineers, encouraging a culture of excellence and innovation.

🎯 Requirements

• Over 15 years in SoC architecture development or similar technical leadership roles. • Proven track record of defining and delivering multiple high-volume SoC systems (such as CPU, GPU, modem, networking or similar). • Proficiency in evaluating power/performance and architectural modeling in high-level programming languages. • Strong understanding of SoC system fundamentals, including memory hierarchy, coherency, clocking, power domains, boot and reset, test, and debug methodologies. • Hands-on experience with silicon bring-up, debug and tuning. • Excellent interpersonal, leadership, and collaboration skills, with the ability to influence across organizations. • Outstanding documentation, written, and verbal communication skills. • Master's degree (or equivalent experience) in a relevant subject area: Computer Science, Electrical Engineering or Computer Engineering.

🏖️ Benefits

• equity • benefits

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