Senior GPU-Accelerated Image & Data Processing Engineer

NVIDIA AI; Santa Clara (CA); On-site; USD 180,000 - 320,000; Full time

Benefits offered by this job

Equity

Job summary

NVIDIA AI in Santa Clara, CA seeks a senior software engineer to design, develop, and optimize GPU and CPU accelerated libraries for image and data processing.

You will lead and mentor other library engineers, collaborate with product management to define technical roadmaps, and drive high-performance parallel numerical applications using CUDA and C++. Strong expertise in GPU acceleration, parallel computing, and performance tuning is required, with PhD or MSc preferred.

Qualifications

• Requires 12+ years of experience in high-performance parallel numerical applications with CUDA and excellent C/C++ skills.
• A PhD or MSc in Computational Science, Computer Science, or a related field is preferred.

Responsibilities

• Design, develop, and optimize GPU and CPU accelerated software libraries for image and data processing.
• Collaborate with product management to define technical roadmaps and provide leadership to other library engineers.

Skills

C++

CUDA

GPU Acceleration

Parallel Computing

Algorithm Optimization

Software Design

Python

CI/CD

Profiling

Debugging

Numerical Methods

Performance Tuning

Education

PhD or MSc in Computational Science, Computer Science, or a related field

Job description

NVIDIA AI in Santa Clara, CA seeks a senior software engineer to design, develop, and optimize GPU and CPU accelerated libraries for image and data processing.

You will lead and mentor other library engineers, collaborate with product management to define technical roadmaps, and drive high-performance parallel numerical applications using CUDA and C++. Strong expertise in GPU acceleration, parallel computing, and performance tuning is required, with PhD or MSc preferred.