Senior Developer Technology Engineer, High-Performance Databases

About the role

NVIDIA’s Developer Technology team is seeking a Senior Developer Technology Engineer to research new algorithms and memory management techniques that accelerate databases on modern computer architectures. You will investigate hardware and system bottlenecks, optimize data-intensive applications, and work on the leading edge of technology with visibility and impact across NVIDIA’s products and customers.

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance database and ETL applications
• Work directly with technical experts in industry and academia to analyze and optimize complex data-intensive workloads for best performance on 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

Requirements

• Master’s or PhD in Computer Science, Computer Engineering, or a related computationally focused science (or equivalent experience)
• At least 5+ years of relevant work or research experience
• Programming fluency in C/C++ with deep understanding of algorithms and software design
• Hands-on experience with low-level parallel programming (e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB)
• In-depth expertise with CPU/GPU architecture fundamentals, especially the memory subsystem
• Domain expertise in high-performance databases, ETL, and data analytics
• Strong communication, organization, and problem-solving skills with the ability to prioritize effectively

Qualifications

• Experience optimizing distributed database systems and frameworks (e.g., production databases or Spark)
• Background with compression, storage systems, networking, and distributed computer architectures

What you’ll do as a DevTech Engineer

• Collaborate with external technologists to investigate application performance, design parallel algorithms, and implement GPU-accelerated optimizations
• Publish findings in developer blogs or at conferences and workshops as a recognized expert in the field
• Represent NVIDIA to customers, industry, and academia, contributing application insights that influence next-generation hardware and software
• Solve critical problems, deepen expertise, expand knowledge, and work across domains and organizations

Pay

Base salary ranges: Level 3 – $152,000 – $241,500 USD; Level 4 – $184,000 – $287,500 USD (determined by location, experience, and internal equity). Equity and benefits are also provided.