2026 Technology Intern (Fall)

Smart Design is looking for a technology intern to join our team!

Are you interested in developing cutting edge technology working with multidisciplinary teams?

Do you like solving both technical and human-centric problems together with engineers and designers?

Are you passionate about working on products that make our lives better in a meaningful way?

If you have worked in software development, but you are able to stretch into electrical design, this role may be for you.

The ideal candidate is someone with interest and experience across the whole technology spectrum from hardware to software development.

We are seeking someone excited by new ideas, with an eye for detail, and a desire to work with designers/mechanical engineers.

See more about the Smart Design Technology Team here !

We also host a blog where team members talk about a variety of topics from developing machine learning models to setting up depth cameras to perform hand detection.

Our office is based out of the Brooklyn Navy Yard in Brooklyn NY.

Interns must be onsite a minimum of three days per week and possibly more as projects require.

Intern rates depend on educational level and will fall between $20-24/hour depending on education level ($22 for bachelor's and $24 for master's degree).

We are committed to creating an inclusive culture and are proud to be an equal opportunity employer .

At this time, we are unable to sponsor for this position.

Naturally you’ll have:

• Some educational background in systems engineering, electrical engineering, computer science, robotics engineering, or other relevant programs
• The ability to partner with designers or product managers to work through technical feasibility and tradeoffs
• A solid grasp of programming, digital, and physical fundamentals
• Understanding of agile processes in software development
• Experience with programming within a Linux environment in Python and/or C++
• Experience working with version control software such as Git
• Fluidity in picking up new tools and technologies

Bonus if you have:

• Experience with hardware such as Arduino, Raspberry Pi or custom microcontrollers
• Knowledge of AWS infrastructure/DevOps
• Interest in machine learning and computer vision (Anaconda, Pandas, NumPy and Sci-kit)