Spatial computing/communications Intern

Number of Position(s): 2

Duration: 10 Weeks

Date: June to August, 2026

Location: Onsite, in Murray Hill, New Jersey.  

EDUCATIONAL RECOMMENDATIONS 

Currently a candidate for a PhD, Master's, or Bachelor's degree inComputer Science, Electrical Engineering, Mathematics, or a related field with an accredited school in the USA.

• Proficiency in spatial computing techniques, including Gaussian Splatting.

• Hands-on experience in a computer vision project.

• Strong coding skills with a focus on high-quality, maintainable code.

• Collaborative mindset and experience working in a large team environment.

Nice-To-Have:

• Familiarity with large language models and their applications.

• Experience in machine learning algorithms related to computer vision.

• Exposure to software development best practices and methodologies.

As part of our team, you will:

You will work with our research team to conduct high-quality fundamental studies and translate discoveries into impactful Nokia applications.

Likely focus areas include:

• Advancing 3D modeling techniques for realistic representation and simulation of complex environments.

• Exploring spatial computing methods to enable context-aware interaction between physical and digital spaces.

• Investigating semantic communication frameworks for efficient knowledge transfer and interpretation.

• Developing computer vision algorithms for scene interpretation, object recognition, and spatial reasoning.

• Applying large language models to interpret, describe, and interact with physical spaces and objects.