

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
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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משרות נוספות שיכולות לעניין אותך

Your role:
You're the right fit if:
How we work together
Onsite roles require full-time presence in the company’s facilities.
This role 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.
• Learn more about .
• Discover .
• Learn more about .
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care .

Your role:
Minimum Required Qualifications
EducationBachelor's / Master's Degree in Computer Science, Software Engineering, Information Technology or equivalent.
Minimum 5 years of experience with Bachelor's OR Minimum 3 years of experience with Master's in areas such as Software Development, Software Design and Architecture, Testing and Quality Assurance or equivalent.
Preferred Qualifications
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Your focus will be on supporting our imaging modalities Computed Tomography (CT).You will take ownership of challenges and demonstrate a proactive approach to finding solutions.
As server solutions and system communication play an increasingly important role in our services, expertise and interest in IT solutions will be a valuable asset.
Your role:
Performing service activities such as regular preventive maintenance (PM), corrective maintenance (CM), troubleshooting, upgrades, installations, and modifications, in accordance with relevant Philips quality standards.
Maintaining a holistic overview of the system and its functional environment, with attention to features from both a technical and user (clinical) perspective.
Responsible for the completeness and accuracy of service data, with special attention to test and verification results.
Timely and accurate submission of work reports, escalation reports, and other relevant administrative tasks as assigned.
Timely escalation to our Western Europe service support organization.
Reporting customer feedback and timely follow-up on relevant assigned quality and regulatory training.
You're the right fit if:
2 years of experience in IT, Network Diagnosis, System Connectivity, Remote Service within Engineering, Medical, Electromechanical Industries, or Science related environment or equivalent. Knowledge/Experience in Computed Tomography machines and systems as a plus.
Familiar with computer tools and office software.
Skilled in building and maintaining customer relationships and related contacts; team player.
Independent and service-oriented with a logical and methodical approach to problem-solving.
Structured, organized, with a high level of personal integrity and self-discipline.
Fluent in spoken and written Dutch and English, Category B driver’s license – must have.
Preferably hold a bachelor’s degree in Electronics / Mechanics or Electrical Engineering.
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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
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 .
Learn more about .

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:
• 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.
• Learn more about .
• Discover .
• Learn more about .

Beyond setting targets, you’ll serve as a technical coach, providing hands-on guidance to project teams and ensuring compliance with regulatory and internal quality standards. Your role will be pivotal in translating system-level requirements into actionable quality strategies, identifying risk early, and embedding reliability into every stage of development
Your role:
Ensuring that appropriate Quality plans include all stages of the product’s lifecycle and support Quality Plan design for Software
Validating key design inputs like usability, reliability, performance, supportability, manufacturability, localizability, safety, security, privacy serviceability, sustainability and costs
Providing effective oversight on the execution of the Software Quality Plan, risk management activities and all design related activities during the lifecycle
Leading quality problem solving
Drive Design for Reliability and Design for Six Sigma
Acting as a single point of contact in project teams for End2End Design Software Quality
Ensure the voice of the customer is represented in project teams
Using post-market data for analytics and statistics to report on the product’s performance in the market (provide feedback to manufacturing, suppliers, or design teams) and initiate field actions when required
Ensuring the product’s design quality related requirements/criteria are complete and meet the Quality standards for every project milestone
Making substantial contribution to integrate reliability engineering activities with the medical device development activities
You're the right fit if:
Master’s degree or Bachelor's degree in engineering, science or a technical field.
Minimum 7 years of experience in software engineering, software design or software development
Prior experience in quality engineering or a demonstrated interest in quality-related disciplines is strongly preferred
Certification in Design for Six Sigma (DfSS) at Green Belt or Black Belt level is advantageous
in-person at least 3 days per week.
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 .
• Learn more about .

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
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.
• Learn more about
משרות נוספות שיכולות לעניין אותך