Job Requisition ID

JR2022702

Job Category

Engineering

Time Type

Full time

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Projects like nvComp, NPP, nvJPEG, nvJPEG2000, nvTIFF, nvImageCodec are used in all kinds of processing workflows and support NVIDIA's vision and growth.

Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms. Idóneo candidates will have experience with accelerated computing and a passion for advancing the state-of-the-art in various computing domains. If this sounds exciting, we would love to meet you

What You’ll Be Doing

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.

What We Need To See

PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience).
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.

Ways To Stand Out From The Crowd

Good knowledge of

📌 Senior Software Engineer (Pachuca de Soto)
🏢 NVIDIA AI
📍 Pachuca de Soto