Additionalinformation

Additional Information

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading 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.

Companydescription

Company Description

Jobdescription

Job Description

Internship Duration: 3–6 months (full‑time preferred; outstanding part‑time candidates considered)

About the Role

We are looking for a high‑potential Robotic AI Intern o join our robotics and AI solution team. This internship offers hands‑on 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 real‑world 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 decision‑making
  • Learning‑based 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 proof‑of‑concept development.

Collaboration & Documentation

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

Qualifications

• Currently pursuing Master’s, 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 problem‑solving skills and ability to learn quickly

Preferred Qualifications (Nice to Have)

• Hands‑on 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 hardware‑software co‑design
• Publications, Kaggle projects, GitHub repositories, or open‑source contributions related to robotics or AI

What You Will Gain

• Hands‑on experience with industrial‑grade 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 system‑level design
• Strong opportunity for return offer / full‑time conversion for top performers