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About This Role
- Join Intel as an AI Software Engineering Graduate Intern, where you will contribute to the development and optimization of cutting-edge AI software solutions.
- In this role, you will work on designing algorithms, frameworks, and AI software architectures to solve complex engineering challenges.
- You will collaborate with Memory Design teams to implement and fine-tune models, conduct applied research, and integrate hardware and software components seamlessly.
- As an intern, you will gain hands-on experience, deepen your technical expertise, and build valuable skills while exploring potential career paths in a collaborative and innovative environment.
- Your contributions will directly support Intel's business goals and help shape the future of scalable AI solutions.
- Key responsibilities include but are not limited to: -Participate in the design, development, and optimization of AI algorithms and frameworks. -Assist in the implementation and tuning of AI models for performance and accuracy across various domains. -Collaborate with internal product teams and validation partners to create AI software solutions for system-level deployment. -Support hardware and software integration to enable efficient and scalable AI solutions. -Conduct applied research and contribute to the advancement of AI methodologies. -Perform technical documentation to ensure clarity and accuracy in project deliverables. -Evaluate and debug AI software to improve its functionality and reliability. -Work within CI/CD processes, leveraging tools like Jenkins to support development workflows.
- The ideal candidate should demonstrate the following professional traits. -Enthusiasm for innovation and a passion for advancing AI technologies. -Demonstrated ability to solve complex technical problems effectively. -Strong communication skills and ability to collaborate with cross-functional teams.
- This position is not eligible for Intel's Immigration Sponsorship.
Requirements
- to be initially considered for this position.
- Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.
Requirements
- Pursuing Master's in Computer Science or any related field. -1+ years of experience in programming languages such as Python, C and C++. -Knowledge of machine learning engineering fundamentals and frameworks. -Familiarity with AI principles, computer architecture, and software debugging techniques. -Experience with scripting and technical documentation.
Nice to Have
- Exposure to DDR memory interfaces, JEDEC standards. -Proficiency in machine learning frameworks such as TensorFlow or PyTorch. -Strong communication skills and ability to collaborate with cross-functional teams. -Familiarity with CI/CD processes and tools such as Jenkins.
- We are constantly working on making a more connected and intelligent future, and we need your help.
- Change tomorrow.
- It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
- Find out more about the benefits of working at Intel .
- Annual Salary Range for jobs which could be performed in the US: $113,500.00-153,600.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
- Our standard internship rates are based on your degree, location, and the job role.
- Your recruiter can share more about the specific compensation range for your preferred location and job role during the hiring process.
- Work Model for this Role This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need.
- However, you must live and work from the country specified in the job posting, in which Intel has a legal presence.
Sourced directly from Intel’s career page
Your application goes straight to Intel.
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Specialisation
Open roles at Intel
672 positions
Job ID
/job/Virtual-US/AI-Software-Engineer-Graduate-Intern_JR0285989
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