Axle Informatics

  • High Performance Computing Developer

    Job Locations US-MD-Rockville
    Posted Date 2 weeks ago(1/7/2019 9:49 AM)
    # of Openings
    Information Technology
  • Overview

    High Performance Computing Developer

    Axle Informatics is a bioinformatics and information technology company that offers innovative computer services, informatics, and enterprise solutions to research centres and healthcare organizations around the globe. With experts in software engineering, bioinformatics and program management, we focus on developing and applying technology tools and techniques to empower decision-making and accelerate the discovery in translational research. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

    Job Description

    We are looking for a developer experienced in both GPU and HPC scaling of computational analysis to support our work at NIH. The position will be based in Bethesda/Rockville, MD. We are looking for a skilled and motivated researcher/developer with expertise in algorithm development and optimization. The successful applicant will be involved with optimizing computational analysis (modern machine learning as well as deep learning solutions) of images and other “big data” acquired in collaboration with scientists, biologists, and/or clinicians across the NIH.  A cloud based computational platform is being developed in which heterogeneous compute architectures need to be supported including classical HPC nodes/clusters and modern GPU clusters. Therefore, the ideal applicant will have diverse experience in scaling algorithms in both classic HPC (Spark/C/C++) and GPU (CUDA/OpenCL) environments.


    • Enable clients to execute projects with compelling productivity breakthroughs.
      • You will work with some of the most highly regarded organizations in the Federal ecosystem, and your work will bring the latest technology to mission-critical workflows.
    • Enable real time/near real time analysis of image data for cutting edge medical image and data analysis
    • The responsibilities and duties vary from building software for proof-of-concept demonstrations to developing production ready algorithms to deploy publicly.
    • Engage with developers, scientific researchers, data scientists, IT managers and senior leaders to determine highest value targets for optimization.
    • You will be an authority on integrating scalable algorithms into applications built on traditional machine learning algorithms, deep learning, graph analytics, signal processing and other state-of-the-art technologies.
    • Finding bottlenecks in algorithms/software that is currently in use and implement performance optimization for both classic HPC and GPU architectures.



    • 3+ years’ experience developing and deploying scalable C/Spark (scala)  software systems.
    • 3+ years’ experience developing and deploying GPU computing (CUDA and/or OpenCL) systems.
    • Masters or higher in Engineering, Mathematics, Physics, Computer Science, Data Science, Neuroscience, Experimental Psychology, Statistics, or equivalent work experience.
    • Experience deploying applications on large-scale classic HPC systems as well as modern GPU clusters.
    • Ability to work independently with minimal day-to-day direction.
    • Healthy collaboration and social skills.

    The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.


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