NVIDIA
Solutions Architect, Data Processing - New College Grad 2025
NVIDIA, Santa Clara, California, us, 95053
Solutions Architect, Data Processing - New College Grad 2025
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Solutions Architect, Data Processing - New College Grad 2025
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NVIDIA . Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Join our team with varied strengths today! What You Will Be Doing
Research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. Collaborate with technical experts in industry and academia to perform in-depth analysis and optimization of complex data intensive workloads for best possible performance on current GPU architectures. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line. What We Need To See
Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience. Programming fluency in C/C++ with a deep understanding of algorithms and software design. Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc. In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem. Domain expertise in high performance databases, ETL, data analytics and/or vector database. Good communication and organization skills, with a logical approach to problem solving, and prioritization skills. Ways To Stand Out From The Crowd
Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark). Experience optimizing vector database index build and/or search. Experience profiling and optimizing CUDA kernels. Background with compression, storage systems, networking, and distributed computer architectures. Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for ML and DL applications. NVIDIA employees have worked on open-source projects such as RAPIDS cuDF, NVIDIA nvcomp, NVIDIA Distributed Join, NVIDIA cuCollections. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 27, 2025. JR2006569 NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Join to apply for the
Solutions Architect, Data Processing - New College Grad 2025
role at
NVIDIA . Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures? Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications? Are you excited about the opportunity to work on the top tier edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Solution Architecture Team invites you to consider this opportunity. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Join our team with varied strengths today! What You Will Be Doing
Research and develop techniques to GPU-accelerate high performance database, ETL and data analytics applications. Collaborate with technical experts in industry and academia to perform in-depth analysis and optimization of complex data intensive workloads for best possible performance on current GPU architectures. Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. Influence partners (industry and academia) to push the bounds of data processing with NVIDIA’s full product line. What We Need To See
Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience. Programming fluency in C/C++ with a deep understanding of algorithms and software design. Hands-on experience with low-level parallel programming, e.g. CUDA (preferred), OpenACC, OpenMP, MPI, pthreads, TBB, etc. In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem. Domain expertise in high performance databases, ETL, data analytics and/or vector database. Good communication and organization skills, with a logical approach to problem solving, and prioritization skills. Ways To Stand Out From The Crowd
Experience optimizing/implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark). Experience optimizing vector database index build and/or search. Experience profiling and optimizing CUDA kernels. Background with compression, storage systems, networking, and distributed computer architectures. Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for ML and DL applications. NVIDIA employees have worked on open-source projects such as RAPIDS cuDF, NVIDIA nvcomp, NVIDIA Distributed Join, NVIDIA cuCollections. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 27, 2025. JR2006569 NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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