Remote Senior Deep Learning Performance Architect

Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Deep Learning Performance Architect to analyze and develop next-generation architectures that accelerate AI and high-performance computing applications. The role involves developing innovative hardware architectures, benchmarking AI workloads, and collaborating with architecture teams to guide product development. Responsibilities Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmabilityBenchmark and analyze AI workloads in single and multi-node configurationsDevelop high level simulator and analysis tools in C++/PythonEvaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offsWork closely with peer architecture teams and product management to guide development of the productsKeep abreast with emerging trends and research in deep learning Skills MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applicationsBackground in GPU or Deep Learning ASIC architecture evaluation for training and/or inferenceStrong programming skills in Python and C++Solid fundamental knowledge in computer architecture and interconnect fabricsUnderstanding of modern transformer-based model architecturesAbility to simplify and communicate rich technical concepts to non-technical audienceHave a curious demeanor with excellent problem-solving skills Benefits You will also be eligible for equity and benefits. Company Overview NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com. Company H1B Sponsorship NVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Deep Learning Performance Architect to analyze and develop next-generation architectures that accelerate AI and high-performance computing applications. The role involves developing innovative hardware architectures, benchmarking AI workloads, and collaborating with architecture teams to guide product development. Responsibilities Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmabilityBenchmark and analyze AI workloads in single and multi-node configurationsDevelop high level simulator and analysis tools in C++/PythonEvaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offsWork closely with peer architecture teams and product management to guide development of the productsKeep abreast with emerging trends and research in deep learning Skills MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applicationsBackground in GPU or Deep Learning ASIC architecture evaluation for training and/or inferenceStrong programming skills in Python and C++Solid fundamental knowledge in computer architecture and interconnect fabricsUnderstanding of modern transformer-based model architecturesAbility to simplify and communicate rich technical concepts to non-technical audienceHave a curious demeanor with excellent problem-solving skills Benefits You will also be eligible for equity and benefits. Company Overview NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com. Company H1B Sponsorship NVIDIA has a track record of offering H1B sponsorships, with 448 in 2026, 1872 in 2025, 1354 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job