Senior GPU Libraries Eng — Image & Data Processing (Equity)

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

Benefits offered by this job

Equity

Benefits

Hybrid work schedule

Job summary

NVIDIA is seeking a highly skilled software professional to join our GPU-accelerated libraries team in the United States. You will design, develop, and optimize high-performance library software and contribute to projects like nvComp, NPP, nvJPEG, and nvTIFF.

You will collaborate with product teams, provide technical leadership, and help advance state-of-the-art computing across CPUs and GPUs. Ideal candidates have deep CUDA experience, strong C/C++, and a track record of delivering scalable,

Qualifications

• PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related field (or equivalent).
• 12+ years experience developing high-performance parallel numerical applications with GPU acceleration using CUDA.
• Excellent C/C++ programming and software design skills.
• Proven experience leading and completing software projects.
• Excellent collaboration, communication, and documentation habits.

Responsibilities

• Develop scalable library software using modern tools for various numerical methods.
• Performance tuning and benchmarking of algorithms on various architectures.
• Collaborate with product management and partners to shape feature requirements and roadmaps.
• Provide technical leadership to library engineers working with you.
• Identify opportunities to improve library performance and reduce maintenance costs.

Skills

C/C++ programming

GPU acceleration

Parallel computing

Software design

Leadership

Education

PhD or MSc in Computational Science, CS, Applied Math

Tools

CI/CD

JIRA

Job description

NVIDIA is seeking a highly skilled software professional to join our GPU-accelerated libraries team in the United States. You will design, develop, and optimize high-performance library software and contribute to projects like nvComp, NPP, nvJPEG, and nvTIFF.

You will collaborate with product teams, provide technical leadership, and help advance state-of-the-art computing across CPUs and GPUs. Ideal candidates have deep CUDA experience, strong C/C++, and a track record of delivering scalable,