Robotic AI Intern

Internship Duration: 36 months (fulltime preferred; outstanding parttime candidates considered)

About the Role

We are looking for a highpotential Robotic AI Intern o join our robotics and AI solution team. This internship offers handson exposure to real robotic systems edge AI and intelligent perception planning and control working closely with senior robotics architects and engineers on real projects. This role is ideal for students who want to bridge AI algorithms and realworld robotic deployment rather than only academic simulations.

Key Responsibilities

Robotic AI & Algorithm Development

• Develop and evaluate AI algorithms for robotics such as:
  • Perception (vision sensor fusion)
  • Motion planning and decisionmaking
  • Learningbased control (e.g. imitation learning reinforcement learning)
• Implement and optimize algorithms in real robotic systems or simulators (e.g. AMR robotic arm humanoid drone).

Software & System Integration

• Implement solutions using Python and/or C C.
• Work with robotics frameworks such as ROS / ROS2.
• Integrate AI models with sensors (camera LiDAR IMU) actuators and embedded platforms.

Experimentation & Validation

• Design experiments run simulations and analyze performance data.
• Evaluate AI models on latency accuracy robustness.
• Support demo systems and proofofconcept development.

Collaboration & Documentation

• Collaborate with crossfunctional teams (robotics embedded system product).
• Clearly document designs experiments and results.
• Present findings to technical and business stakeholders.

Qualifications :

• Currently pursuing Masters or PhD degree in:
  • Robotics Artificial Intelligence Computer Science Electrical Engineering or related fields
• Strong foundation in at least one of the following:
  • Robotics fundamentals (kinematics dynamics control)
  • Machine learning / deep learning
  • Computer vision or sensor fusion
• Proficient in Python; experience with C C is a strong plus
• Familiar with Linux development environment
• Solid problemsolving skills and ability to learn quickly

Preferred Qualifications (Nice to Have)

• Handson experience with:
  • ROS / ROS2
  • PyTorch TensorFlow or similar ML frameworks
  • Real robots (AMR/AGV robotic arms humanoid robots drones)
• Experience with simulation tools:
  • Gazebo Isaac Sim MuJoCo or similar
• Exposure to edge AI embedded systems or hardwaresoftware codesign
• Publications Kaggle projects GitHub repositories or opensource contributions related to robotics or AI

What You Will Gain

• Handson experience with industrialgrade robotic AI systems
• Mentorship from senior robotics architects and engineers
• Opportunity to work on real customer solutions and demos
• Exposure to edge AI platforms and systemlevel design
• Strong opportunity for return offer / fulltime conversion for top performers

Additional Information :

Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. With a global team of over 21000 engineers and problem solvers in more than 30 countries we offer the opportunity to work on worldleading technology for Automotive Industrial Infrastructure and IoT shaping a safer healthier greener and smarter future.

At Renesas TAGIE is our culture grounded in being Transparent Agile Global Innovative and Entrepreneurial. It shapes how we work grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us

Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.

Remote Work :

No

Employment Type :

Full-time