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.

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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.

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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.

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What you'll be doing:

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• 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.

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What we need to see:

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• 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.

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Ways to stand out from the crowd:

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• 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.

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