University of North Carolina at Chapel Hill
Argus Array Data Production Engineer
University of North Carolina at Chapel Hill, Raleigh, North Carolina, United States
Join the University of North Carolina at Chapel Hill as an Argus Array Data Production Engineer.
The Argus Array will be the largest optical telescope array ever assembled, scanning the sky 100,000x faster than current nightly-cadence sky surveys. The successful candidate will support the development and operation of GPU-accelerated, real-time data analysis pipelines.
The Data Production Engineer will bring the real-time analysis pipeline into production, working with a team of scientists to develop, implement, and deploy cutting-edge algorithms and approaches to astronomical difference image analysis, image resampling and reprojection, and coaddition.
Responsibilities
Write and design code that interfaces directly with the largest digital sensor array ever assembled. Work with a cross-functional team responsible for the entire data path of the Argus Array. Requirements
Relevant post-Baccalaureate degree required (or foreign degree equivalent). Deep Python expertise (5+ years) and demonstrated success in designing and optimizing high-throughput systems (2+ years). Experience and proficiency across the software development lifecycle (version control, documentation, and testing) is required. Experience with GPU acceleration frameworks (Nvidia CUDA, PyCUDA, CuPy, or equivalent) is required. Preferred Qualifications
Experience with maturing research-grade code to production in machine vision, astronomical data processing, or similar field is preferred. Prior experience translating scientific requirements into technical specifications and working in a mixed research environment is preferred. Experience with cluster-scale and distributed computing in a DevOps context is strongly preferred. The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation.
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Write and design code that interfaces directly with the largest digital sensor array ever assembled. Work with a cross-functional team responsible for the entire data path of the Argus Array. Requirements
Relevant post-Baccalaureate degree required (or foreign degree equivalent). Deep Python expertise (5+ years) and demonstrated success in designing and optimizing high-throughput systems (2+ years). Experience and proficiency across the software development lifecycle (version control, documentation, and testing) is required. Experience with GPU acceleration frameworks (Nvidia CUDA, PyCUDA, CuPy, or equivalent) is required. Preferred Qualifications
Experience with maturing research-grade code to production in machine vision, astronomical data processing, or similar field is preferred. Prior experience translating scientific requirements into technical specifications and working in a mixed research environment is preferred. Experience with cluster-scale and distributed computing in a DevOps context is strongly preferred. The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation.
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