INTERNSHIP DETAILS

Embedded Systems Intern – MSc Graduation Project

CompanySignify
LocationEindhoven
Work ModeOn Site
PostedMay 22, 2026
Internship Information
Core Responsibilities
The intern will evaluate and deploy lightweight AI/ML models on the EFR32MG24 microcontroller for real-time anomaly detection in IoT lighting systems. Responsibilities include benchmarking inference latency, profiling energy consumption, and integrating solutions into embedded data processing workflows.
Internship Type
full time
Company Size
1913
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
At Cooper Lighting Solutions, a Signify business, we build forward-thinking lighting and control solutions that make people’s lives safer while making buildings, homes and cities smarter and more sustainable. We deliver an industry-leading portfolio of indoor and outdoor LED lighting, advanced lighting controls and connected lighting systems across commercial, industrial, residential, sports, healthcare, education, retail and infrastructure applications. From performance-driven luminaires to intelligent networked control platforms, our solutions help customers enhance energy efficiency, improve occupant comfort and meet evolving building codes and sustainability goals. Our portfolio includes trusted brands such as HALO, Metalux, Lumark, McGraw-Edison, Streetworks, NeoRay and Corelite. Together, we serve architects, engineers, lighting designers, contractors, distributors and facility managers across North America. We continue to expand our innovation and industrial capabilities through strategic growth, including the recent acquisition of Nemalux, a market leader in hazardous location lighting. This strengthens our ability to serve customers operating in demanding environments where safety and performance are critical. We question. We seek. We solve. Because building a better world means asking tough questions and pushing harder for answers. Together with our customers, we design lighting environments that support productivity, safety, connection and performance, bringing the best of life to light in every environment we help create. Cooper Lighting Solutions is a business unit of Signify, the world leader in lighting. Together, we share a purpose to unlock the extraordinary potential of light for brighter lives and a better world.
About the Role

About Signify

Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.

At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.

Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world. 

More about the role

Signify is one of the few companies in the world to achieve carbon neutrality and our next sustainability goals are even bolder: doubling our positive impact on the environment and society by 2025.

As embedded software intern, you get the opportunity to contribute to innovative projects focused on exploring how the latest advancements in Artificial Intelligence (AI), Machine Learning (ML), and Edge computing can be adopted to wireless embedded devices. These projects investigate how intelligent data processing and decision-making can be brought closer to the source of data. This includes optimizing models for resource constrained embedded devices, improving wireless bandwidth usage and enhancing sensory detection algorithms. You will gain hands-on experience with cutting-edge technologies and contribute to shaping the future of smart, connected IoT lighting systems.

We’re on the lookout for forward-thinking innovators with a passion for sustainability. If you match this description, get in touch!

Topic description

Performance Evaluation and Application of Edge AI on Silicon Labs EFR32MG24 for Real-Time Anomaly Detection

This project investigates the viability of deploying lightweight machine learning models on the EFR32MG24 (or a similar) microcontroller, focusing on its integrated AI/ML accelerator. The goal is to evaluate the chip's computational performance, power efficiency, and real-time inference capabilities for practical edge applications such as anomaly detection in sensor data.

During this internship, the student will explore Silicon Labs Gecko SDK and AI/ML development packages to develop applications on embedded wireless sensor devices that are part of a smart IoT lighting system. The student will learn about the various techniques and tools used in the field and will gain hands-on experience working with real-world applications. The internship will provide an opportunity for the student to develop skills in embedded software development, AI/ML models, edge computing, as well as gain experience working on a complex and challenging project.

 

What you’ll do

  • Perform literature review on related works and evaluate a selected list of methodologies.

  • Select and optimize ML models suitable for anomaly detection using embedded frameworks (e.g., TensorFlow Lite for Microcontrollers)

  • Benchmarking inference latency and memory usage of selected ML models. Analyze the AI/ML hardware capabilities of the EFR32MG24 chip.

  • Profiling energy consumption during inference with and without the hardware accelerator.

  • Developing a real-world anomaly detection use case.

  • Propose an approach to integrate the solution in existing embedded data processing workflows

Your qualifications

  • Enrolled in engineering degree in Embedded Systems, Software Engineering, Computer Science or related subject for the duration of the internship

  • Passion in software development

  • All-rounded mentality and readiness to learn new skills and programming languages

  • Repository management experience using GIT

  • Good in C programming and at least one of the programming languages: C++/Java/C#/Python

  • Optional: prior experience in AI/ML related projects

  • Available for 6-12 months, 32-40 hours per week, preferred start date: October 1st

What you’ll get in return… 

  • Continuous mentoring and feedback throughout your internship. 

  • Internship allowance; the exact amount depends on your situation (also towards rented accommodation or public transportation). 

  • Paid leave on the basis of 1 day per month. 

  • Extensive set of tools to drive your career, such as a personalized learning platform. 

  • Opportunity to purchase products in the staff shop at reduced prices. 

  • We’re offering multiple opportunities for career development, like mentoring, coaching and stretch assignments, with strong international exposure for dynamic profiles. Learning is fundamental to our culture. Through continuous learning, we are transforming the industry. You have the chance to learn every day, acquire new skills and perspectives through customized online programs, and on-the-job experiences. 

  • As an intern, you will be part of the intern program in the Netherlands, consisting of several events, trainings and networking opportunities with your peer students. Join us and shine brighter together! 

Notes 

  • EU students: To be considered for this internship, you need to be registered as a student during the entire internship period. Formal documentation of this may be requested at any time. 

  • Non-EU students in Dutch Universities: You need to be registered as a student, and your university needs to sign the Nuffic Agreement. The internship needs to be a compulsory part of your studies (receive ECTS in turn). In case of non-compulsory internship, you need to have a letter from the university in which it states that your internship contributes to your personal development, what your learning goals are, and what tasks you will undertake during your internship. The letter has to be signed and stamped by your university. 

Please apply only if you can meet the aforementioned requirements

 

Everything we’ll do for you

You can grow a lasting career here. We’ll encourage you, support you, and challenge you. We’ll help you learn and progress in a way that’s right for you, with coaching and mentoring along the way. We’ll listen to you too, because we see and value every one of our 27,000+ people. We believe that a diverse and inclusive workplace fosters creativity, innovation, and a full spectrum of bright ideas. With a global workforce present in 70+ countries, we are dedicated to creating an inclusive environment where every voice is heard and valued, helping us all achieve more together. 

Come join us, and together we can light up the future.

 

Key Skills
C ProgrammingC++JavaC#PythonGitTensorFlow Lite for MicrocontrollersEmbedded Software DevelopmentAI/ML Model OptimizationEdge ComputingAnomaly DetectionSilicon Labs Gecko SDKHardware ProfilingResource Constrained OptimizationWireless Embedded DevicesIoT Systems
Categories
EngineeringTechnologySoftwareData & AnalyticsEnvironmental & Sustainability
Benefits
Internship AllowancePaid LeavePersonalized Learning PlatformStaff Shop DiscountsMentoring And CoachingCareer Development Opportunities