Senior Developer Technology Engineer, High-Performance Databases

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI Algorithms @ 7 CUDA @ 4 Communication @ 7 ETL @ 6 GPU @ 6 MPI @ 4 Networking @ 6 Parallel Programming @ 4 Prioritization @ 7 Spark @ 4

Details

NVIDIA is seeking a Senior Developer Technology Engineer to research and develop techniques for GPU-accelerating high-performance database and ETL applications. The role involves investigating hardware and system bottlenecks, optimizing data-intensive workloads, and working on leading-edge technologies with significant impact.

Responsibilities

Research and develop techniques to GPU-accelerate high-performance database and ETL applications.
Work directly with technical experts from industry and academia to perform in-depth analysis and optimization of complex, data-intensive workloads for current GPU architectures.
Influence the design of next-generation hardware architectures, software, and programming models in collaboration with NVIDIA's research, hardware, system software, libraries, and tools teams.
Investigate application performance, design parallel algorithms, and implement optimizations in a GPU-accelerated computing environment.
Publish findings in developer blogs and at relevant conferences or workshops.
Contribute application expertise that influences next-generation hardware and software products.

Requirements

Master's or PhD in Computer Science, Computer Engineering, or a related computationally focused science discipline, 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, such as CUDA, OpenACC, OpenMP, MPI, pthreads, or TBB.
In-depth expertise in CPU/GPU architecture fundamentals, especially memory subsystems.
Domain expertise in high-performance databases, ETL, and data analytics.
Strong communication, organization, problem-solving, and prioritization skills.

Preferred Qualifications

Experience optimizing distributed database systems and frameworks, such as production databases or Spark.
Background in compression, storage systems, networking, and distributed computer architectures.

Benefits

Equity and benefits are provided.
NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until August 10, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.