Senior GPU Image & Data Processing Library Engineer

2100 NVIDIA USA

Santa Clara (CA)

On-site

USD 224,000 - 357,000

Full time

8 days ago

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Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior software engineer to design, develop, and optimize GPU-accelerated libraries. You will contribute to nvComp, NPP, and related projects used across AI, data analytics, and scientific computing. The role demands deep CUDA experience, strong C/C++, and leadership to guide library teams.

The position emphasizes collaboration, architecture awareness, and producing scalable, maintainable code with a focus on performance across diverse hardware.

Qualifications

PhD or MSc in Computational Science, Computer Science, Applied Math, or related field preferred (or equivalent).
12+ years experience in high-performance parallel numerical apps with GPU acceleration using CUDA.
Excellent C/C++ programming and software design skills.
Proven experience leading and delivering software development projects.
Strong collaboration, communication and documentation habits.

Responsibilities

Develop scalable library software using modern tools and languages for numerical methods.
Performance tuning, optimization, and benchmarking of algorithms on various architectures.
Collaborate with product management and partners to inform feature roadmaps.
Provide technical leadership to library engineers and guide design decisions.
Identify opportunities to improve library performance and maintainability.

Skills

C/C++ programming

Software design

Leadership

Collaboration

Debugging & profiling

Python scripting

Education

PhD or MSc in Computational Science/CS/Applied Math

Tools

CUDA

Job description

The position emphasizes collaboration, architecture awareness, and producing scalable, maintainable code with a focus on performance across diverse hardware.

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