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Require Bachelor of Science in Computer Science/Engineering, Information Systems/Technology, Engineering, Data Analytics/Sciences, or related fields and 5 years of experience in the job offered, software engineer/developer, data analyst/engineer/scientist, systems/programmer engineer/analyst, associate/consultant, or related field.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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A STEM undergraduate or master’s degree in computer science, computer engineering, or software engineering. This opportunity is ideal for individuals with relevant qualifications or experience in software engineering, computer science and/or technology who wish to leverage and apply their technical skills in a new way.
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Civil Engineering, Computer and Information Science, Computer Applications, Computer Engineering, Computer Systems Analysis, Electrical Engineering, Engineering, Engineering and Business, Information Technology, Management Information Systems, Mechanical Engineering, Risk Management, Software App, Mathematics, Statistics.
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MS or greater in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience. BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience.
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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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3+ years of experience as a Data Modeler with a minimum of Bachelor's in Computer Science, Math, or Statistics. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms.
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Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) devops, java, programming, sde, software developer, software programmer, sw.
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REQUIREMENTS: Bachelor's or foreign equivalent degree in Computer Science, Computer Engineering, or a related field, and 4 years of experience in the job offered or as a Software Engineer, Software Developer, Computer Engineer, or in a related/similar position.
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Education Master's Degree M.S. in Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or Bachelor's Degree B.S. with demonstrated experience in broadly defined areas of bioinformatics.
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Solid foundation in computer science, with expertise in data structures, algorithms, and software design. Bachelor's degree in computer science, computer engineering, or related field.
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Recent 5+ years of experience in data management and governance, computer science, software engineering, business administration, or related field. Compensation - We support transparency, equity, and fairness in our compensation programs and provide a reasonable estimate of the salary range, based on data-driven market analysis, for each job posting.
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Required Basic Qualifications: Bachelor's degree in Computer Science or related area of study, or equivalent combination of education and/or relevant work experience; High School Diploma or GED equivalent required 5 years of experience with application development or packaged software implementations Must be eligible to work in the United States without need for work visa or residency sponsorship Required Tech 1 years of GCP/Cloud experience as a developer.
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Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.
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data science computer software engineering jobs in Dallas, NV, Arizona
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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