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DTSTART;TZID=America/Chicago:20221116T100000
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UID:submissions.supercomputing.org_SC22_sess488_job108@linklings.com
SUMMARY:HPC Software Engineer, Machine Learning (AI) Engineer, Software En
 gineer, Data Scientist
DESCRIPTION:Job Posting\n\nHPC Software Engineer, Machine Learning (AI) En
 gineer, Software Engineer, Data Scientist\n\n\n\nEmployment Opportunities 
 are skills based and will vary depending on the position:\n\n•	Developing,
  optimizing, compiling, implementing, and testing multithreaded, multiproc
 essor performance-oriented software with Message Passing Interface, OpenMP
 , CUDA or other parallel processing framework\n•	State-of-the-art parallel
  computing techniques including distributed computing, algorithm optimizat
 ion, or benchmarking \n•	Requirements development, architecture, design, i
 mplementation, testing, release, and maintenance of complex numerical simu
 lation software and parallel software solutions\n•	Building, compiling, an
 d debugging complex Fortran (current and legacy versions), C/C++, Java, Sc
 ala, Python, R, Red Hat or similar language code\n•	Software development i
 n GPU based environments\n•	Electromagnetics, fluid dynamics, multi-physic
 s Finite Element Analysis, generative design, control theory, optimization
 , directed energy and/or other physics-based modeling and simulation\n•	Ar
 tificial Intelligence technologies, such as general machine learning algor
 ithms and neural networks in a parallel HPC environment\n•	Integrating mac
 hine learning and deep learning frameworks, theory, and practice and deep 
 learning toolsets (e.g. TensorFlow PyTorch, Caffe, Keras, etc.)  \n•	Apply
 ing machine learning techniques to solve computer vision, natural language
  processing, signal processing, and image processing\n•	Verifying and vali
 dating machine learning models for use in safety critical applications\n•	
 Using machine learning to parse and contextualize written/free text\n•	Int
 erface, configuration, and optimization HPC technologies such as parallel/
 distributed files systems (Lustre), high speed interconnect fabrics (Infin
 iband), and HPC batch scheduling software\n•	Hadoop-based HPC clusters foc
 used on processing massive data sets collected from fleets of complex equi
 pment with a focus on advanced algorithm development covering areas like d
 iagnostics and prognostics, machine health management, and predictive main
 tenance\n•	Design effective use of computational resources (memory, I/O bu
 ffering, threads, etc.) in application code\n•	Staying informed of state-o
 f-the-art developments, experimenting with and championing new technologie
 s and recommending improvements to existing techniques and procedures\n•	U
 nderstand complex engineering principles to effectively communicate with u
 sers, understand their work, and translate requirements into software solu
 tions\n•	Team building and interpersonal skills, capable of building relat
 ionships with key internal and external stakeholders across multiple geogr
 aphic locations\n•	Consult on complex data engineering efforts and lead pr
 oject teams through the solution design process
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