AI Software Validation Intern

Job Details:

Job Description:

The OpenVINO QA team is looking for a motivated and detail-oriented AI Software Validation Intern to support testing activities and ensure the high quality of the OpenVINO product. This is a great opportunity to gain hands-on experience with real-world software validation processes in a global, professional team.

What We Offer: At Intel, you come to work in a collaborative, supportive environment, where your equally brilliant colleagues will push you to be your best. There's no fear of failure-we know that's how innovation happens. And you'll never be bored. We offer competitive benefits and pay, opportunities for professional development and the flexibility you need to achieve balance. Intel fosters a collaborative environment allowing the brightest minds in the world to come together to achieve exceptional results.

Besides regular duties you can:

Take advantage of various career development activities.

Participate in various innovation-focused activities (innovation lab, collaboration events, and patent submissions writing).

Have a chance to participate in Intel Great Place to Work program which gathers people who love running, cycling, squash, tennis, cross fit, photography, and many more.

Base salary is accompanied with such additional benefits as bonuses, private medical plan, life insurance, lunch coupons, and more.

Qualifications:

Minimum Qualifications:

Actively pursuing a Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related field.

Proficiency in programming languages such as Python, C++, or Java.

Basic understanding of machine learning frameworks like TensorFlow or PyTorch.

Familiarity with algorithms, data structures, and software development practices.

Experience with version control tools such as Git.

Ability to analyze and solve technical problems effectively.

Preferred Qualifications:

Prior experience with AI model development or data analysis projects.

Knowledge of deep learning techniques and frameworks.

Understanding of high-performance computing or parallel programming.

Demonstrated ability to work collaboratively in a multidisciplinary team environment.

Eagerness to learn and adapt in a dynamic, fast-paced setting.

Join us in shaping the future of artificial intelligence. Apply today to gain valuable experience, build your skills, and contribute to Intel's legacy of innovation.

Job Type: Student / Intern

Shift: Shift 1 (Poland)

Primary Location: Poland, Gdansk

Additional Locations:

Business group: The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.

Posting Statement:

Position of Trust N/A

EU Salary

We offer a total compensation package that ranks among the best in the industry. The minimum Annual Salary for this job which could be performed in Poland is: 68 880,00 zł

The job posting reflects the minimum base compensation for this role. Our standard internship rates are aligned with the specific job role and degree level. As part of our total compensation approach, the final offer may also include additional pay components and benefits. Your recruiting team will provide the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.

Work Model for this Role This 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. Job posting details (such as work model, location or time type) are subject to change.