Senior GPU-Accelerated Image & Data Libraries Engineer

Nvidia Corporation in; Santa Clara (CA); Hybrid; USD 224,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA seeks a Senior Software Engineer to design, develop, and optimize high-performance image and data processing libraries for GPU- and CPU-accelerated workflows. You will contribute to nvJPEG, nvTIFF, nvImageCodec and related projects, collaborating with a multidisciplinary team in a fast-paced environment.

The role emphasizes leadership, performance tuning, and cross-team coordination, with strong C/C++ skills and CUDA experience.

Qualifications

• PhD or MSc in Computational Science, CS, Applied Math or related field preferred.
• 12+ years experience developing high-performance parallel numerical apps with CUDA.
• Excellent C/C++ programming and software design skills.
• Proven leadership and project ownership experience.
• Strong collaboration, communication, and documentation habits.

Responsibilities

• Develop scalable library software using modern tools for numerical methods.
• Performance tuning, optimization, and benchmarking on diverse architectures.
• Collaborate with product management and partners to define feature roadmaps.
• Provide technical leadership and guidance to library engineers.
• Identify opportunities to improve performance and refactor code for maintainability.

Skills

C/C++

CUDA

Parallel computing

Leadership

Debugging

Python

Education

PhD or MSc in Computational Science / CS / Applied Math

Tools

CI/CD

JIRA

Job description

NVIDIA in Santa Clara, CA seeks a Senior Software Engineer to design, develop, and optimize high-performance image and data processing libraries for GPU- and CPU-accelerated workflows. You will contribute to nvJPEG, nvTIFF, nvImageCodec and related projects, collaborating with a multidisciplinary team in a fast-paced environment.

The role emphasizes leadership, performance tuning, and cross-team coordination, with strong C/C++ skills and CUDA experience.