Asset Reliability Specialist

Our AI-driven solutions help industrial companies cut energy waste, prevent pollution, and eliminate unplanned downtime. With a mission to reduce global energy consumption by 15%, we're leading in technological innovation.

About the team 👋

As an Asset Reliability Specialist (ARS), you play a crucial role in delivering the value of our Electrical Signature Analysis condition monitoring service to our customers. It is your responsibility to work closely together with our customers and understand in detail the monitored electric machines, driven equipment (pumps, conveyors, fans, compressors, etc.) and processes in which these operate. Based on this understanding, you will analyze the alarms and insights that are triggered by our algorithms on asset performance and upcoming failures. You advise the customer on adequate maintenance actions in order to prevent failure, inefficiencies and unplanned downtime.

You will analyze operational data to identify unhealthy patterns and come up with potential solutions (e.g.; changes in the operational set up and/or control of the assets) to improve performance and elongate the lifetime of the equipment. A good understanding of process, mechanical and/or electrical engineering are therefore a must.

You will work closely with our Data Scientists and Electrical Signature Analysis Specialists to continuously improve our failure prediction models. As you analyze the output of these models on a daily basis, your feedback is invaluable for the optimization of our product.

Finally, you’ll work closely with our Software Development teams to further improve processes and tools for data analysis and diagnosis. This way, you contribute to upgrading the quality of our analyses and advice to customers.

Your challenge 🎯

• Assessing the technical fit of potential customers’ assets with our technology, to make sure we can solve the issues that the customer is facing and we have high chances of success
• Analyzing frequency spectra and the various indicators that our Data Science team have developed in order to form a clear understanding of what the origin is of any deviation in the data from normal asset behavior and what might be causing the deviation
• Translate these insights into practical maintenance/inspection advice for our customers, in order to prevent asset failure and unplanned downtime

Provide the input required to continuously improve our failure prediction models, diagnosis tooling and processes for asset monitoring

What you'll bring ⭐

• Masters' Degree (WO) in Process, Electrical or Mechanical Engineering or similar
• Or Bachelor’s Degree (HBO) in Process, Electrical or Mechanical Engineering plus at least 5 years' relevant experience in Asset Reliability / Maintenance / Condition Monitoring of industrial equipment
• Great communication skills, both verbal and written
• Fluency in English

What we offer 🚀

• Make a positive environmental impact and contribute to reducing the global carbon footprint.
• Vibrant and professional company culture based on freedom and responsibility.
• On-site meals, snacks and drinks.
• Hybrid and onsite working opportunities.
• Company events: from pub quizzes to chess tournaments and wine tastings, there's always something fun happening at our company.
• In line with our mission, our office is made with 90% recycled material at a three-minute walk from Leiden Central train station.

We believe that diversity and inclusion are crucial to fostering innovation and creativity. Research shows that there is a tendency among women and individuals from underrepresented communities to apply for vacancies only when they meet all of the listed qualifications. If this role excites you, but you’re not sure whether you meet all criteria, we would still encourage you to apply. Individuals of all backgrounds, genders, and communities are welcome :)