Software Solutions Eng PhD Intern

The Role and Impact
As a Software Solutions Engineering PhD Intern, you will contribute to developing integrated software solutions tailored to customer and platform needs. Your day-to-day responsibilities will include collaborating with multidisciplinary teams, assisting in solution architecture, prototyping features, and analyzing performance across diverse workloads. This role offers an exciting opportunity to build hands-on experience, deepen your expertise, and explore career possibilities while supporting Intel's business goals in a dynamic and innovative environment.

Business group
You will be part of the Intel Foundry Business Group, which focuses on delivering cutting-edge solutions that support Intel's strategic initiatives and technological advancements. The group works on diverse projects across automation, AI platforms, and software solutions, with a commitment to innovation and collaboration to create impactful results.

Key Responsibilities

• Assist in the development of integrated software solutions tailored to customer and platform needs.
• Collaborate with hardware, firmware, and customer engineering teams to deliver scalable and optimized solutions.
• Support solution architecture, feature prototyping, and performance analysis across diverse workloads and environments.
• Solve technical problems through experimentation and present results via well-structured documentation.
• Work on computer vision, AI image analytics, and machine learning at scale to address complex challenges.
• Utilize frameworks such as TensorFlow, PyTorch, and OpenCV to develop and deploy solutions.
• Test and program in Linux and Windows environments while leveraging version control tools like Git.

Minimum Qualifications

• Ph.D. student in Computer Science, Electronics, Applied Mathematics, Statistics, or a related field.
• Fluency in Python programming language.
• Experience with programming and testing on Linux/Windows environments.
• Familiarity with version control systems (e.g., Git, CI).
• Strong understanding of Computer Vision and Deep Learning techniques.
• Proficiency in frameworks such as TensorFlow, PyTorch, or OpenCV.
• Demonstrated problem-solving and algorithm design skills.

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