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Summer 2027 Software Engineer Intern

Advanced Micro Devices, Inc
Cambridge, GBR
Internship, Full Time
Entry
Hybrid
Discovered 2 weeks ago
CC++LinuxTensorFlowPyTorchKeras

Full Job Posting

WHAT YOU WILL BE DOING

We are seeking highly motivated Software Engineering intern/co-op to join our team at AMD. In this role:

We will assign you responsibilities in which you will work closely with our software engineers to build and maintain our software applications

We will provide training on the full software creation process, from design and built to testing and deployment

We will encourage you to build scripts that automate some of our software development process

We will help you learn debugging methodologies to investigate the root cause of software issues

In certain projects we may have your involvement in crafting technical/functional documents and reports as needed

WHO WE ARE LOOKING FOR:

You are currently enrolled in a UK based University into a Computer Engineering, Electrical Engineering, Computer Science or related discipline. If you have knowledge / experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply –

Programming Languages: Familiarity with C and C++ Software Engineering Foundations: Exposure to object-oriented design, data structures, algorithms, operating systems concepts, and multithreaded programming Development Skills: Experience with design and code development, Linux environments, and modern software tools and techniques Machine Learning & Data Science:

Exposure to machine learning algorithms, data analysis, and computer vision through coursework or projects Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Keras, JAX, and/or Caffe

System-Level Programming: Exposure to kernel development (e.g., Linux kernel modules, device drivers, low-level system programming) Familiarity with debugging and optimizing kernel-level code

GPU Programming: Exposure to frameworks like CUDA or HIP for accelerating ML workloads Cloud Platforms: Familiarity with AWS, Google Cloud Platform, or Microsoft Azure for hosting and deploying applications

Note: By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of intern opportunities, a recruiter will contact you

Benefits offered are described: AMD benefits at a glance .

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Requirements

  • Programming Languages: Familiarity with C and C++ Software Engineering Foundations: Exposure to object-oriented design, data structures, algorithms, operating systems concepts, and multithreaded programming Development Skills: Experience with design and code development, Linux environments, and modern software tools and techniques Machine Learning & Data Science:
  • Exposure to machine learning algorithms, data analysis, and computer vision through coursework or projects Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Keras, JAX, and/or Caffe
  • System-Level Programming: Exposure to kernel development (e.g., Linux kernel modules, device drivers, low-level system programming) Familiarity with debugging and optimizing kernel-level code
  • GPU Programming: Exposure to frameworks like CUDA or HIP for accelerating ML workloads Cloud Platforms: Familiarity with AWS, Google Cloud Platform, or Microsoft Azure for hosting and deploying applications

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