Systems Engineer

Company Description

TOMRA Food is a multinational organisation and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximise food safety and minimise food loss by making sure Every Resource Counts™, has been our strength for over 50 years.

At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.

Join the resource revolution!

Job Description

At TOMRA Food, our Systems & Sensors Team is responsible for the development of illumination, optical-imaging, and classification technologies. We integrate these innovations with mechanical and software components to enhance TOMRA’s cutting-edge sorting platforms. Join us in a dynamic, multidisciplinary environment that values creativity and technical excellence.

Role and Responsibilities:

• Contribute to the research and development of systems technologies.
• Design, test and validate prototypes, and performance benchmarking.
• Analyse data, build models, and share insights to refine our solutions.
• Swiftly troubleshoot and resolve technical challenges.
• Collaborate closely with R&D engineers across diverse disciplines.
• Work cross-functionally to deliver solutions that meet customer needs.

Every day brings new challenges as you work across diverse technical fields, including optics, automation, spectroscopy, multivariate analysis, and machine learning. You'll have the opportunity to deliver real-time solutions to customers and contribute to impactful long-term R&D projects.

Qualifications

About You:

• Bachelors or Master's degree in Engineering, Physics or a related Science field.
• Skilled in one or more of the following areas: automation, vision systems, optics, or mechatronics.
• Proficient in basic data analysis & programming (e.g. python, C++).
• Analytical mindset with a methodical approach to problem-solving.
• Hands-on, enthusiastic, and eager to tackle complex challenges.
• Excellent communication and presentation skills.
• A team player thriving in high-performance, multidisciplinary teams.
• Willingness to travel domestically and internationally for prototype validation.

Additional Information

What We Offer:

You will have long-term career opportunities, with a globally renowned company and the following: 

• Health insurance.  
• Pension scheme:
  • 2% employee contribution with 4% employer contribution,
  • 4% employee contribution with 6% employer contribution,
  • 6% employee contribution 8% employer contribution.  
• 25 days annual leave.
• Additional long service days.
• International and collaborative working environment. 
• Space and support to experiment with new technologies. 
• Social events. 
• Be part of a mission to transform how we all obtain, use, and reuse the planet’s resources to enable a world without waste. 
• Inclusive company culture that values diversity, well-being, and strong camaraderie among our teammates. 
• Professional training and development: We are passionate about people and seeing them succeed. 
• We love innovation, a collaborative environment where idea sharing and thinking outside the box is encouraged. 

How to Apply:

If this sounds like you, we would love to hear from you! All applications will be managed in the strictest confidence.  

TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, colour, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.