Senior Developer Technology Engineer for High-Performance Databases

About the Role

NVIDIA is seeking a Senior Developer Technology Engineer to research and develop techniques to GPU-accelerate high performance database and ETL applications. You will work directly with technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads. You will 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.

Responsibilities

• 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
• 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

Qualifications

• 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

Preferred Qualifications

• 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

About the Opportunity

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 Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs. Many of today's applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes.

Take a look at some of the open-source projects that our Devtech team have worked on: NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cu Collections.

Compensation and Benefits

• Base salary range (Level 3): $152,000 USD - $218,500 USD
• Base salary range (Level 4): $184,000 USD - $287,500 USD
• Base salary will be determined based on your location, experience, and the pay of employees in similar positions
• Eligible for equity and benefits

Application Details

• Location: Hybrid
• Application deadline: At least until January 13, 2026
• Posting status: Existing vacancy

About NVIDIA

NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

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.

Note: NVIDIA uses AI tools in its recruiting processes.