Vacancy expired!
Job DescriptionIntel Atlanta is a new and vibrant site located in midtown Atlanta. As a site rotational Intern you will have the opportunity to work with multiple teams across Intel working in our Software Center of Excellence.Responsibilities may be quite diverse of a nonexempt technical nature. U.S. experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school.
Develop and optimize image processing algorithms suitable for SYCL-based parallel computing platforms.
Implement and validate algorithms in C and SYCL, ensuring compatibility with various hardware accelerators like GPUs, CPUs, and FPGAs.
Conduct performance benchmarking and analysis to guide optimization efforts.
Collaborate with cross-functional teams to integrate developed algorithms into larger systems and pipelines.
Keep up to date with the latest advancements in image processing and mathematical algorithm research, as well as SYCL standards and best practices.
Produce high-quality documentation, including algorithm descriptions, performance analyses, and user guides.
Review code and provide constructive feedback to team members.
In addition to the qualifications listed below, the ideal candidate will also have:
Strong background in image processing, computer vision, and mathematical algorithms.
Familiarity with software development tools like Git, CMake, and continuous integration systems.
Strong analytical and problem-solving skills.
Excellent written and verbal communication skills.
Familiarity with hardware architecture, particularly GPUs and FPGAs.
QualificationsYou must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your schoolwork/classes/research and/or relevant previous job and/or internship experiences.Minimum Qualifications:
The candidate must be pursuing a Master's/PhD degree in Computer Science, Applied Mathematics, Electrical Engineering, or related technical discipline with 6+ months of relevant industry experience.
6+ months of experience in C programming, with hands-on experience in SYCL and/or other parallel computing frameworks such as CUDA or OpenCL.
Preferred Qualifications:
Experience in machine learning and neural networks.
Experience in algorithmic performance optimization.
Published research in areas related to image processing or mathematical algorithms.
Inside this Business GroupEnable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.Posting StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.BenefitsWe offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. (https://jobs.intel.com/en/benefits)Working ModelThis role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
