Embedded AI Intern

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profile Job Location:

Columbia, IN - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

2026 Summer Intern 

Must be enrolled full time as a rising junior or senior BS student or MS student in Computer Engineering Electrical Engineering Computer Science or related field.(Must not have graduated before September 2026)

June 22 - August 14

100% on site - local candidates preferred

We are looking for a proactive detail-oriented Embedded AI Intern to join our team and help build edge AI demonstrations on Renesas this role youll support the end-to-end workflowfrom data collection and organization to signal processing model development and on-device deployment/testing. This is a hands-on opportunity to learn and contribute to real-world projects that combine embedded systems data processing and AI.

Key Responsibilities

  • Build and refine edge AI demos using Renesas MCUs and associated development tools
  • Collect label clean and organize sensor/dataset inputs for model training and evaluation
  • Apply signal processing techniques (e.g. filtering feature extraction FFT) to improve model performance
  • Prototype and evaluate machine learning algorithms/models for embedded use cases
  • Deploy and validate models on Renesas MCUs (e.g. memory/latency optimization accuracy testing)
  • Document workflows results and demos; collaborate with the team to iterate quickly

 


Qualifications :

  • Must be enrolled full time as a rising junior or senior BS student or MS student in Computer Engineering Electrical Engineering Computer Science or related field.(Must not have graduated before September 2026)
  • Basic programming skills in C/C Python (NumPy Pandas Matplotlib/Plotly Scikit-learn) and MATLAB with experience writing clean modular and efficient code.
  • Basic experience with common embedded toolchains IDEs and Git version control.
  • Basic understanding of time-series signal processing (e.g. sampling FFT STFT spectrogram).
  • Basic knowledge with machine learning algorithms (SVM logistic regression neural networks convolutional networks).
  • Familiarity with embedded concepts (e.g. MCUs peripherals debugging)
  • Interest in TinyML/edge AI and willingness to learn new tools and workflows
  • Strong problem-solving skills attention to detail and ability to work in a collaborative environment.
  • Valid driving license for data collection.

Nice to have

  • Experience with signal processing sensor data or time-series signal processing
  • Experience with AI modeling machine learning algorithms
  • Exposure to ML frameworks (e.g. TensorFlow/TFLite PyTorch) and model deployment concepts

What Youll Gain

  • Hands-on experience with real-world projects processing and workflow optimization.
  • Exposure to end-to-end AI project workflows in a real-world setting.
  • Opportunities to enhance technical expertise problem-solving abilities and collaborative skills.

Additional Information :

The expected hourly pay range for this position is $29.75/hr - $33.75/hr. This position is also eligible for bonus opportunities. Please note that the final offer amount including any applicable bonuses will be dependent on geographic location relevant experience and skillset of the candidate. 

Interns may be eligible for certain Company-provided benefits which can include sick leave holiday pay and medical dental and vision insurance. Eligibility and specific benefits will be provided in accordance with Company policy and applicable law. 

Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
 
With a diverse team of over 22000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable power-efficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.     
 
At Renesas you can: 

  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  
  • Make a real impact by developing innovative products and solutions to meet our global customers evolving needs and help make peoples lives easier safe and secure. 
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system including the remote work option and Employee Resource Groups will help you excel from the first day.    

Are you ready to own your success and make your mark  

Join Renesas. Shape Your Future with Us.  

Renesas Electronics is an equal opportunity and affirmative action employer committed to celebrating 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 federal state or local law. For more information please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.


Remote Work :

No


Employment Type :

Intern

2026 Summer Intern Must be enrolled full time as a rising junior or senior BS student or MS student in Computer Engineering Electrical Engineering Computer Science or related field.. (Must not have graduated before September 2026)June 22 - August 14100% on site - local candidates preferredWe are loo...
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