Senior Software Engineer - Image and Data Processing Libraries
Nvidia
Remote
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 CPU and/or GPU hardware architecture
Experience with adopting and advancing, software development practices such as CI/CD systems and project management tools such as JIRA
Experience with working in a globally distributed organization
Advanced skills in debugging, profiling, and testing for accuracy and performance
A scripting language, preferably Python
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