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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
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A baccalaureate degree from an accredited college including or supplemented by 24 semester credits in computer science or a related computer field and one year of satisfactory full-time computer software experience in computer systems development and analysis, applications programming, database administration, maintenance and support, systems programming, data communications, mainframe development, mobile development, web development and design; or2.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Hands-on professional experience in software development especially with analytical & computationally intensive systems, digital transformations leveraging cloud technologies (AWS, GCP, Azure, Databricks etc.
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Coursework or minor in information systems, software engineering, computer science or data and analytics preferred; experience with data analysis tools such as Alteryx or Power BI preferred.
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Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$338,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What you'll need to succeed Masters' degree in Computer Science, or equivalent experience. Prior experience working on large scale distributed systems or data processing systems.
$234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Education & Experience Requirements:Bachelor’s degree in management information systems, computer science, data science, or information technology, or combination of education and relevant experience.
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Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management.
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Required Qualifications: Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative disciplinesUp to 4 years of experience in a relevant role such as software or quant developmentProficiency in at least one of Python, C.
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Communicate Wolters Kluwer competitive advantage to customers in a compelling articulate manner in speech, writing and formal presentationQualifications:Education:Required: Bachelor’s degree in computer science or related field.
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Familiarity with AWS cloud platform and cloud-based data warehouse like Snowflake Familiarity with version control systems like Git and agile development methodology Able to solve complex problems and successfully manage ambiguity and unexpected change.
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Alternatively, Bachelor of Science degree in Computer Science/Engineering, Electrical/Electronic/Telecommunications Engineering, Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus five (5) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field. Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) and UNIX shell scripting.
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Basic Qualifications:Bachelor’s Degree or military experienceAt least 3 years of product management experience or at least 3 years of experience in product design, agile delivery, business analysis, data science, or software engineering Preferred Qualifications:Bachelor’s Degree in Computer Science or EngineeringMBA or Master’s degree2+ years of experience in Agile product managementAt this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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