Senior DevTech Engineer — GPU-Accelerated Databases

NVIDIA; New York (NY); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in New York invites a Senior Developer Technology Engineer for High-Performance Databases to join the DevTech team. You will research GPU-accelerated techniques for databases and ETL workloads on modern architectures.

You will collaborate with researchers and engineers to analyze bottlenecks, optimize data-intensive systems, and influence future hardware, software, and programming models across NVIDIA. This role includes equity and benefits; applications are accepted until August 10, 2026.

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.

Responsibilities

• In this role, you will research and develop techniques to GPU-accelerate high performance database and ETL applications.
• Work directly with other technical experts (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads.
• Influence the design of next-generation hardware architectures, software, and programming models in collaboration with NVIDIA teams.

Skills

C/C++ programming

Parallel programming

GPU architecture

Database/ETL expertise

Communication

Education

Masters or PhD in CS/CE or related

Job description

NVIDIA in New York invites a Senior Developer Technology Engineer for High-Performance Databases to join the DevTech team. You will research GPU-accelerated techniques for databases and ETL workloads on modern architectures.

You will collaborate with researchers and engineers to analyze bottlenecks, optimize data-intensive systems, and influence future hardware, software, and programming models across NVIDIA. This role includes equity and benefits; applications are accepted until August 10, 2026.