Senior GPU-Accelerated Library Engineer

NVIDIA Gruppe

Santa Clara (CA)

Hybrid

USD 224,000 - 357,000

Full time

9 days ago

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Benefits offered by this job

Equity

Benefits

Hybrid work

Job summary

NVIDIA is seeking a senior software engineer to design, optimize and lead development of high‑performance GPU‑accelerated library software, collaborating on nvComp, NPP, nvJPEG, nvJPEG2000 and nvTIFF used across processing workflows.

The ideal candidate has a PhD or MSc in a related field, 12+ years of parallel numeric software experience with CUDA, expert C/C++, proven leadership, and strong collaboration. Hybrid work in Santa Clara with equity and benefits.

Qualifications

PhD or MSc in Computational Science, Computer Science, Applied Math, or related field.
12+ years experience developing, debugging, and optimizing high-performance parallel numerical applications on modern computing platforms, with GPU acceleration using CUDA
Excellent C/C++ programming and software design skills
Proven experience in leading and completing software development projects.
Excellent collaboration, communication, and documentation habits.

Responsibilities

Developing scalable library software using modern tools and languages for various numerical method
Performance tuning, optimization, and benchmarking of algorithms on various architectures.
Working closely with product management and other internal and external partners to understand feature and performance requirements and contributing to the technical roadmaps of libraries
Providing technical leadership and guidance to library engineers working with you,
Find opportunities to improve library performance and abstractions that allow to re-architect code for reduced maintenance cost.