Senior Developer Technology Engineer

NVIDIA Corporation; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

NVIDIA Corporation seeks a Senior Developer Technology Engineer to research and develop GPU-accelerated techniques for high-performance databases and ETL workloads. You will collaborate with experts to optimize data-intensive tasks and influence next-generation hardware design.

The role requires strong C/C++ skills, deep parallel programming experience, and expertise in CPU/GPU memory architectures. You will work across teams to push GPU-aware software and hardware co-design forward.

Qualifications

• Master's or PhD in Computer Science, Computer Engineering, or a 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 strong 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 in CPU/GPU architecture fundamentals, particularly the memory subsystem

Responsibilities

• Research and develop methods to enhance performance of high-performance databases and ETL applications using GPU acceleration
• Conduct in-depth analysis and optimization of data-intensive workloads in collaboration with industry and academic experts
• Influence the design of future hardware architectures and programming models through collaboration with various teams at NVIDIA

Skills

C/C++ programming

Parallel programming

CPU/GPU architecture

Data-intensive workload optimization

Collaboration

Education

Master's or PhD in CS/CE or related field

Tools

CUDA

OpenACC

OpenMP

MPI

pthreads

TBB

Job description

Researching and developing techniques to GPU-accelerate high-performance database and ETL applications, the full-time Senior Developer Technology Engineer will collaborate with technical experts to optimize complex data-intensive workloads and influence the design of next-generation hardware architectures.

Key responsibilities

• Research and develop methods to enhance performance of high-performance databases and ETL applications using GPU acceleration
• Conduct in-depth analysis and optimization of data-intensive workloads in collaboration with industry and academic experts
• Influence the design of future hardware architectures and programming models through collaboration with various teams at NVIDIA

Required qualifications

• A Master's or PhD in Computer Science, Computer Engineering, or a 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 strong 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 in CPU/GPU architecture fundamentals, particularly the memory subsystem