Intern R&D in Sophia-Antipolis

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

For this internship of six months, we are looking for a student, enrolled in the last year of studies, in Engineering, Computer Science,
in a University in France for a standard internship agreement.

Joining the R&D team in Sophia-Antipolis, you will be in connection with experts who will take time to train you.

Development of a Prediction Engine and User Interface

Overview:

Develop a prediction engine and an intuitive user interface to propose recommendations to end users. 

We have identified several productivity and performance challenges in our product:

• Excessive user interactions required to execute a single operation, leading to reduced productivity.
• Numerous commands executed causing performance issues in a graphical environment.

Objective:

Your mission will be to define the most efficient way to predict desired actions with minimal user input, ideally in a single click or automatically.

The goal is to generate a result or a pertinent proposition and apply it in a minimal number of commands. 

Key tasks: 

Study different Prediction engines: 

• Prediction algorithms based on heuristics.
• Predictions generated by an AI.

User Interface: 

• Study and determine the best methods to present predictions to users.
• Design and develop a graphical interface to preview proposed actions, allowing users to accept, reject, or request new suggestions.

What you will learn: 

• Advanced algorithm design and optimization techniques.
• Practical application of machine learning in user interaction.
• User interface design and development for enhanced user experience.
• Performance tuning and productivity enhancement in graphical environments.

Ideal candidate: 

• Passionate about improving user experience and performance.
• Background in algorithms, machine learning, and UI/UX design.
• Proficient in C++, Python, and graphical interface development.

We’re doing work that matters. Help us solve what others can’t.