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# Senior Developer Technology Engineer, High-Performance Databases

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $66,560.0 - $68,640.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, C++ (Programming Language), Nvidia CUDA, Computer Programming, Databases, Computer Engineering, Extract Transform Load (ETL), Distributed Data Store, OpenMP, Operational Databases, Software Engineering, Subsystems, System Software, Graphics Processing Unit (GPU), Apache Spark, Parallel Computation, Information Technology, Data Analytics
- **Published:** August 7, 2026
- **Apply:** https://www.jofdav.com/jobs/59129193-senior-developer-technology-engineer-high-performance-databases

## About the Role

* A Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).
 * At least 5+ years of relevant work or research 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, OpenACC, OpenMP, MPI, pthreads, TBB, etc.
 * In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem.
 * Domain expertise in high performance databases, ETL and data analytics
 * Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

 * Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark).
 * Background with compression, storage systems, networking, and distributed computer architectures.

## Description

* In this role, you will research and develop techniques to GPU-accelerate high performance database and ETL applications.
 * Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of 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


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