Fpga Engineer jobs at Philips in Netherlands, Eindhoven

Start date: November 1st, 2025

Duration: 5-6 months (with possibility to extend)

Type:Internship, (thesis possible)

Weekly presence:32-40 hours

Job title:

Internship: Software Development Engineer / Website Developer

Your role:

• Develop a responsive and visually appealing website using modern frameworks

• Implement an interactive cost calculator that allows users to input expected service usage information and get instant costs based on price list

• Ensure the website is optimized for performance

• Integrate back-end logic for data processing and storage

• Develop unit, component and system tests to assure proper quality and conformance with requirements

You're the right fit if:

• You are studying towards a BSc (last year) or MSc insoftware engineering/computer science.

• You are interested in cloud development such as AWS

• Basic to intermediate knowledge of modern web development (front-end and back-end)

• Some experience with building websites(academic, internship or professional)

• Ability to work independently and deliver within agreed timelines

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Your role:

• Ensure the required EMC performance during the design, implementation, and verification of complex RF electronics systems

• Prepare and guide EMC (Pre-)Compliance tests of complex electronics systems

• Apply EMC standards to complex electronic medical systems

• Design, realize, and verify analog and complex RF (radio frequency) electronic circuits and systems

• Review PCBA designs on signal integrity and power integrity

• Stay up to date with developments in the field and propose ways to strengthen relevant team competencies

• Define the scope of activities and translate customer wishes into clear requirements and plans

• Provide input to project plans, including effort estimations based on requirements

• Report technical progress and outcomes to stakeholders through clear communication and documentation

• Build a strong network within and outside the organization to promote departmental competences and skills

You’re the right fit if you have:

• A Master’s degree in electrical engineering or a comparable field

• At least 10 years of experience in a product development environment

• Proven experience with the development of products compliant with EMC standards

• Hands-on experience with RF measurements and EMC tests

• Solid experience with complex electronic systems including RF

• Strong modeling and simulation skills (LTSPICE, Matlab/Simulink, HFSS/CST)

• A hands-on, pro-active, and can-do attitude

• A strong focus on quality and attention to detail, combined with a customer-oriented mindset

• Excellent communication skills in English

• Networking skills and a collaborative, team-player spirit

• Preferred is experience with medical product development and experience with working in multidisciplinary teams, including multi-site (i.e. global) development

• You are currently living in The Netherlands

This is an office role

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Start date: September or October 2025

Duration: min. 5-6 months, longer is possible and preferred

Type: thesis and non-thesis internship is possible

Modern medical imaging systems depend on real-time image processing to support physicians during minimally invasive procedures. These systems combine specialized hardware (e.g., FPGAs), embedded software, and PC-based applications to deliver high-performance, low-latency results.

As expectations for image quality, responsiveness and guidance increase, pre-trained AI models are becoming integral in areas like noise reduction, enhancement, and pattern recognition. While CPUs and GPUs are widely used for AI, FPGAs offer unique advantages: predictable timing, low latency, and hardware-level parallelism which is critical for real-time medical use cases.

To make AI deployment on FPGAs more accessible, new tools and frameworks allow engineers to implement inference models without writing low-level hardware description code. This opens opportunities to explore how existing trained models can be mapped to FPGA hardware using various flows.

Most AI models are developed and trained in high-level environments like Python and C++. Traditional FPGA development, using VHDL or Verilog, poses a barrier to rapidly deploying such models.

Emerging toolchains now support flows where trained models can be translated into synthesizable logic using high-level languages or model conversion frameworks. This assignment challenges the student to explore the state of the art in AI-on-FPGA inference, evaluate implementation options, and build a working prototype using a simple AI algorithm.

• Investigate the AI inference capabilities of the FPGA platforms used in medical imaging systems, focusing on hardware features such as DSP blocks, memory hierarchies, and parallel processing units.
• Conduct a survey of available toolchains and frameworks (e.g., Vitis AI, FINN, hls4ml, Brevitas, ONNX, Deep Learning IP cores) that enable mapping of pre-trained AI models to FPGA hardware.
• Summarize state-of-the-art trends in AI-on-FPGA deployment, with an emphasis on their relevance to real-time, safety-critical medical imaging applications.
• Perform a comparative study of FPGA development flows for AI inference:

• Low-level RTL (VHDL/Verilog)
• High-Level Synthesis (C++/SystemC)
• Model-to-hardware compilers and frameworks (e.g., FINN, hls4ml).

• Evaluate which types of AI models (e.g., quantized CNNs, MLPs, statistical algorithms) are most feasible for FPGA deployment.
• Assess common optimization techniques (quantization, pruning, fixed-point arithmetic) and their impact on resource usage, latency, and accuracy.
• Select a representative AI algorithm or lightweight statistical method relevant to medical image enhancement (e.g., noise reduction filter, basic classifier, or histogram-based analysis).
• Implement the algorithm, synthesize it to FPGA, where relevant, experiment with modern AI-to-FPGA frameworks.
• Optimize the design to balance accuracy, speed, and hardware efficiency.
• Integrate the implemented algorithm into a test pipeline with real or representative image data.
• Demonstrate functionality on FPGA hardware.
• Present a comprehensive evaluation covering performance, latency, resource usage, and feasibility for use in real-time medical imaging workflows.
• Provide recommendations for future work, highlighting opportunities for scaling to more complex AI models or clinical use cases.

Deliverables

• Research Report – Summary of FPGA capabilities, frameworks, and trends.

• Technology Evaluation – Comparative study of development flows, models, and optimizations.

• Prototype Package – Source code, synthesizable implementation, and reproducible build instructions.

• Demo & Results – Working demonstration with image data and performance evaluation.

• Final Presentation – Findings, results, and recommendations for future exploration.

You’re the right fit if

• Pursuing a Master degree in Electrical Engineering, Computer Engineering, or Artificial Intelligence.

• Experience with FPGA design (VHDL/Verilog) or High-Level Synthesis (C++/SystemC)

• Familiarity with AI/ML fundamentals (e.g., CNNs, quantization, pruning)

• Interest in FPGA AI toolchains (Vitis AI, FINN, Brevitas, hls4ml)

• Basic knowledge of Python for handling models and frameworks

• Research-oriented mindset with curiosity for new technologies

• Ability to balance theory with hands-on prototyping

• Strong communication skills for presenting results

In return, we offer you

A non-stop growth opportunity within a global multinational company. IN addition, we also want to remunerate you well for the opportunity. This includes:

• Monthly full-time allowance between €500 - €700 gross, depending on your education level and if you need to relocate to The Netherlands. Part-time internships receive the allowance pro-rata.

• Housing compensation. Should you need to relocate to near our office, we’ll offer you a monthly allowance of €300,- net if location is in the vicinity of Amsterdam, €255,- net for all other Philips locations. To be eligible, we’ll just ask for the rental contract from your landlord, and your usual home-work travel distance needs to be more than 50 km or 1.5 hours of travel time (for a one way trip).

• Travel compensation, if you are not eligible for a free public transport card; you will receive max.€192,- net asa monthly allowance.

• Paid holidays per internship term.

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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Start date:

at least 6 months

Weekly presence:32-40 hours

Eindhoven HTC

Your role:

• Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more

• Clean, preprocess, and curate data for evaluation, fine-tuning, and training

• Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights

• Keep up the latest advancements in generative AI research and integrate new techniques into the development process

You're the right fit if:

• You hold Bachelor degree in Computer Science, Electrical Engineering, or a related field, and currently obtaining Master degree in a relevant field

• You have at least one year of hands-on experience developing NLP and ML/DL solutions in an academic or professional environment

• You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch)

• You have a strong understanding of classic NLP and experience with with LLMs , such as RAG, prompt engineering, data synthesis, automatic evaluation, and fine-tuning

• You are familiar with cloud computing platforms

• You have excellent communication skills and a collaborative mindset are essential

• You have strong analytical and problem-solving skills, with attention to detail

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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As a Senior Model-Based System Engineer (MBSE) at Philips, you will be responsible for applying and improving the MBSE approach in various projects for different Philips businesses. You will play a crucial role in delivering high-quality (sub) systems models of products by meeting user and business requirements, managing complexity, providing technical leadership, and stakeholder management. Additionally, you will contribute to improving Systems Engineering capability across Philips by defining methods and setting up Philips standards for MBSE, coaching, and training others.

Your role:

• What we do today affects someone’s life tomorrow; it is a quality policy of Philips. Striving for the highest quality of healthcare products, you will be working on implementing and applying Model-based Systems Engineering (MBSE) in R&D departments within various Philips businesses. Your knowledge and skills will help us continuously improve our Systems Engineering practices and prepare us for the future.

• You will be a part of the Model-Based Systems Engineering competence group within the Innovation Engineering central function, primarily located in the High Tech Campus in Eindhoven. The MBSE group comprises of approx.15 highly skilled and motivated MBSE professionals working on different projects across all Philips businesses. These projects can cover every phase of the product life cycle, from development, manufacturing, market deployment, operation, and maintenance to phase-out. You will also help to deploy MBSE capability throughout the global company by creating and providing training and coaching and/or leading a team of system engineers.

• In this role, from being on the front-end of Philips product development through MBSE deployment activities, you will be able to guide every aspect of MBSE and product development at Philips. Our external engagement with other companies will allow you to also build a strong network of same-minded professionals across High Tech industry.

You're the right fit if:

• 7+ years of experience in an R&D environment in a regulated environment (a medical device company is strongly preferred).

• You are all-round System Engineer, an expert on Requirements Engineering, Risk Management and design.

• You have strong experience in Model Based System Engineering with tools e.g. Cameo and their customization e.g. Structured Expressions, Scripting, Profiles, Custom Diagrams, Validation Rules philosophy and implementation, Plugin Development etc.

• You have experience with SysML at least in Model User Level and with scripting as a plus.

• You are familiar with Structure, Behavior, Requirements and Parametric Models implementation.

• You are able to create MetaModel and DataModel definitions.

• You have a M.Sc. degree in Software, System, Electrical or Mechanical Engineering or in a similar field.

• You are an excellent communicator who can operate on different levels of architectural details with a hands-on mentality.

• Fluent in English

• You are living in the Netherlands

Onsite roles require full-time presence in the company’s facilities.

This is an office-based role.

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

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Graduate Development Program - Data Science & AI Engineer

Your assignment:

In your 1st year assignment asa GDP Trainee,

Enterprise Informatics aims to grow by transforming its portfolio to be fully cloud-based, enabling customers to augment and automate care workflows with generative and agentic AI solutions. The AI & Insights team, newly formed in 2025, generates deep business insights with AI, drives data-informed decision-making, and enhances strategic intelligence through generative and agentic AI, machine learning, and advanced analytics.

• You’ll develop Al-powered models, predictive analytics, and automated insights that shape business strategies, transforming data into actionable intelligence for faster, smarter, and more informed decisions across the organization.

• This means understanding business needs, collecting, organizing, and interpreting data using statistical tools, programming languages, and visualization techniques.

As a GDP trainee you will receive a2.5 years, full time employment contractwith excellent labour conditions.

You're the right fit if:

• You have completed a Bachelor's or Master's study in Data Science or related study and you areavailable per1st September 2025 ;

• Max 1 years of work experience straight after your graduation. Preferably you have business context knowledge in commercial, innovation or finance;

• You master technical skills such as machine learning basics, natural language processing tools, prompt engineering (working with various LLMs), AI-powered analytics tools (e.g. PowerBI) and statistical programming (preferably Python);

• You are able to read and create data models and understand the business implications;

• You need to have excellent English communication skills, both in speech and writing, to effectively convey complex data insights to non-technical stakeholders;

• You are a team player as you will work in cross-functional teams;

• You need to have strong analytical thinking and the ability to adapt to changing business needs;

• You need to be eager to innovate and adopt new concepts and technologies in the data domain.

Recruitment process

If you are interested in joining the Philips Graduate Development Program,please apply online
latest 1st June 2025,

• Within 1 week after your application, you will be informed whether you passed the pre-selection round and if yes you will be invited to perform a gamified test and video interview.

• After the test and video interview we will come back to youlatest 13th of June.

• You will be informed whether you belong to the best performers and if yes you will be invited for the final face to face interview, which will take place in Eindhoven, on the 19th or 23rd of June 2025.

• In the same week, we will inform you of the outcome.

• Start date will be 1st September 2025

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
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Your role:

• Design and implement FPGA designs for medical devices.

• Participate in requirements definition, design, implementation, testing, and release.

• Ensure the design complies with quality norms and participate in design/code reviews.

• Apply analytical skills to solve problems using system debug and functional simulation test benches.

• Participate in requirements definition, design, implementation, testing, and release.

• Estimate work, contribute to planning, and maintain personal/team backlogs.

• Document developed designs and report progress in a structured manner.

• From a competitive salary to good work life balance, a career at Philips comes with all sorts of wonderful benefits.

You're the right fit if:

• Bachelor’s or master’s degree in electrical engineering, informatics, or equivalent.

• Minimum of 5 years of relevant experience in VHDL and/or Verilog coding.

• Experienced in working with major FPGA vendors and their tools.

• Proven track record in implementing high-speed design and high-speed interfaces.

• Strong analytical skills in problem solving using system debug and functional simulation test benches.

• Skilled in using version control, CI/CD pipelines and regression tests frameworks.

• Experienced in writing specifications and design documentation.

• Proven track record working in cross-functional teams.

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about .
• Discover .
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