How to Land a Software Engineering Internship in Digital Image Processing


How to Land a Software Engineering Internship in Digital Image Processing




Are you a student who is interested in digital image processing and wants to gain some hands-on experience in this field? Do you want to work on cutting-edge projects that involve computer vision, machine learning, and graphics? If yes, then you might want to apply for a software engineering internship in digital image processing at Arm.

Arm is a global leader in designing and licensing semiconductor IP, such as processors, graphics, and multimedia. Arm’s technology powers billions of devices, from smartphones and tablets to cars and servers. Arm also offers software solutions, such as drivers, compilers, and libraries, that enable developers to create applications that run on Arm-based devices.

One of the software teams at Arm is the Digital Image Processing team, which works on developing software for Arm’s Mali™ GPUs and image signal processors (ISPs). The team’s main focus is on creating software solutions that enable high-quality image and video processing, such as noise reduction, tone mapping, color correction, and face detection. The team also works on integrating machine learning and computer vision algorithms into the software stack, such as object detection, segmentation, and tracking.




The Digital Image Processing team is looking for software engineering interns who are passionate about image processing and have strong programming skills in C/C++. The interns will work on real-world projects that have a direct impact on Arm’s products and customers. The interns will also have the opportunity to learn from experienced engineers and collaborate with other teams across Arm.

The software engineering internship in digital image processing at Arm is a 12-month-long program that starts in July 2023. The internship is based in Manchester, UK, but the interns will also have the chance to travel to other Arm sites and attend conferences and events. The interns will receive a competitive salary and benefits, such as relocation assistance, flexible working hours, and access to training and development resources.

If you are interested in applying for this internship, you will need to meet the following requirements:

  • You are currently enrolled in a bachelor’s or master’s degree in computer science, engineering, mathematics, or a related field.
  • You have a strong academic record and a keen interest in digital image processing.
  • You have experience in programming in C/C++ and using Linux and Git.
  • You have knowledge of image processing concepts and algorithms, such as filtering, edge detection, and color spaces.
  • You have familiarity with computer vision and machine learning frameworks, such as OpenCV, TensorFlow, or PyTorch.
  • You have good communication and teamwork skills and a willingness to learn new things.



To apply for this internship, you will need to submit your CV and a cover letter that explains why you are interested in working at Arm and what skills and experience you can bring to the team. You will also need to complete an online coding test and a video interview. The application deadline is December 31, 2022, so don’t miss this opportunity and apply now!

For more information about this internship and how to apply, you can visit the official job posting1. You can also check out some of the other blog posts and resources that we have listed below for more tips and insights on how to land a software engineering internship in digital image processing.

References:

1: Software Engineering Intern - Digital Image Processing 2: Creating an Internship Program for Software Engineers - Case Study from Redbubble 3: Internship Experience: Software Development Intern 4: Image Processing Internships 2023 For Freshers and Students 5: Digital Image Processing Internship - Sanfoundry 6: 9 Image Processing Internships | Internshala




Keywords:

software engineering, digital image processing, internship, Arm, image processing, computer vision, machine learning, graphics, GPU, ISP

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