SoC Performance Architect Intern - 2026 job opportunity at NVIDIA.

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DateMore Than 30 Days Ago bot
NVIDIA SoC Performance Architect Intern - 2026
Experience: General
Pattern: full-time
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loacation China, Shanghai, China
loacation China, Shangha..........China

We are seeking innovative and highly motivated architects to contribute to the design and development of our world-class AI computing and automotive platform solutions. The Terga System-on-Chip (SoC) serves as NVIDIA’s strategic platform, powering a diverse range of market segments, including high-performance computing, autonomous vehicle systems, client devices, edge computing, mobile gaming, and AI robotics. As a Terga SoC performance architect, you will play a key role in developing architectural models, building vital infrastructures, and conducting comprehensive performance analysis for our ground breaking SoC platforms. What you'll be doing: Design, implement and improve performance simulators and models to support the real-world use case study. Develop and maintain software infrastructures for capturing, replaying and profiling complex application workloads running on our powerful SoC platform. Conduct quantitative studies on the current and next-generation SoC architectures to evaluate performance across various use cases. Investigate performance bottlenecks and propose architectural ideas to improve overall system and application performance. What we need to see: Thorough and in-depth knowledge of computer architecture. Strong C, C++ and Python programming and debugging skills. Solid understanding of Object-Oriented Programming principles. Self-motivated and hardworking individual with strong communication skills. Structural and critical thinking with good problem-solving skills. Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, Electrical or Electronics Engineering; relevant experience is also considered. Ways to stand out from the crowd: Good understanding of GPU architecture or memory subsystem architecture. Experience with System C or other system modeling libraries. Experience with CUDA programming. Experience with Deep Learning model development. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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