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  • GPU/bioinformatics programmer



    CUDA SOFTWARE ENGINEER - BIOINFORMATICS LIBRARIES #1563619

    As a CUDA Software Engineer for Bioinformatics Libraries, you will bring your deep expertise in bioinformatics algorithms to the CUDA Libraries and Algorithms team as we build world-class high performance libraries targeting bioinformatics applications. Deliverable results include production quality software, prototypes, and patents. You will implement state of the art algorithms, as well as drive to production release via debugging, tuning, testing, and documenting your work. The CUDA Libraries and Algorithms team works closely with other internal engineering teams to specify future hardware and software platforms, and you will have the opportunity to work closely with hardware architects and core engineering teams. From time-to-time, the position my include outreach and collaboration with external partners, speaking at conferences and other events in areas relevant to NVIDIA's business and technology, and collaboration with internal and external researchers on topics of mutual interest.

    Candidates for this position should have specialized expertise in theory and implementation of bioinformatics algorithms. This includes Next-Generation Sequencing (NGS) data analysis pipelines, sequence alignment, read mapping, compression, and biological database search.

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  • seqadmin
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    The sequencing world is rapidly changing due to declining costs, enhanced accuracies, and the advent of newer, cutting-edge instruments. Equally important to these developments are improvements in sequencing analysis, a process that converts vast amounts of raw data into a comprehensible and meaningful form. This complex task requires expertise and the right analysis tools. In this article, we highlight the progress and innovation in sequencing analysis by reviewing several of the...
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