Solutions Architect, Data Processing - New College Grad 2025

Details

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. More recently, GPU deep learning ignited modern AI — the next era of 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!

This is a full-time role based in Santa Clara, California, United States. Applications for this job will be accepted at least until October 27, 2025.

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. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance database, ETL and data analytics applications.
• Work directly with technical experts in industry and academia to analyze and optimize 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.

Requirements

• Master’s 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 (examples listed: CUDA preferred, OpenACC, OpenMP, MPI, pthreads, TBB).
• In-depth expertise with CPU/GPU architecture fundamentals, especially the memory subsystem.
• Domain expertise in high-performance databases, ETL, data analytics and/or vector databases.
• Good communication and organization skills, with a logical approach to problem solving and prioritization.

Ways to Stand Out

• Experience optimizing or implementing database operators or query planners, especially for parallel or distributed frameworks (e.g., production databases 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.

Open-source Work & References

Examples of related open-source projects that NVIDIA employees have worked on:

• https://github.com/rapidsai/cudf/
• https://github.com/NVIDIA/nvcomp
• https://github.com/rapidsai/distributed-join
• https://github.com/NVIDIA/cuCollections

Benefits & Equal Opportunity

You will be eligible for equity and NVIDIA benefits. NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. NVIDIA does not discriminate 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.