Solutions Architect, Data Processing - College Grad

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.

• Research and develop techniques to GPU-accelerate high-performance database, ETL and data analytics applications.
• Work directly with other technical experts in industry and academia to perform in-depth analysis and optimization of complex data‑intensive workloads 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.

• 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, 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.

• Experience optimizing or implementing database operators or query planner, especially for parallel or distributed frameworks (e.g. production database or Spark).
• Background in optimizing vector database index build and/or search.
• Experience profiling and optimizing CUDA kernels.
• Background with compression, storage systems, networking, and distributed computer architectures.

Compensation and benefits:
Base salary will be determined by location, experience, and comparable roles, with ranges of 124,000‑195,500

USD (Level2) and 152,000‑241,500

USD (Level3). You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal‑opportunity employer. We do 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.