Company Description
TOMRA Food is a multinational organization and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximize food safety and minimize food loss by making sure Every Resource Counts™, has been our strength for over 50 years.
We seek individuals who live our core values of innovation, responsibility, and passion. At TOMRA, we boost innovation, encouraging our team members to take calculated risks that can lead to groundbreaking solutions, challenging the status quo. We value passion in our workforce; it's the driving force behind customer commitment and a relentless pursuit of success.
We believe in fostering a responsible, inclusive, and safe mindset among our employees, one that prioritizes our customers, products, and each other. We encourage every team member to take responsibility for their actions and decisions, contributing to a culture of accountability and trust.
Join the resource revolution!
Job Description
Gain hands-on experience working with real-world machine data from advanced food sorting systems used by customers around the globe. As part of TOMRA's Research & Development team, you'll contribute to next-generation digital tools that help transform operational data into meaningful insights for customers, service teams and engineers around the globe.
We are looking for a Software Engineering Intern studying Computer Science, Software Engineering, or a related discipline to join our Research & Development team and contribute to TOMRA's next-generation digital solutions. This internship will be paid and run from November to February across a 10-week period.
You'll work alongside experienced software, electronics and applications engineers to help develop TOMRA's digital dashboard and observability solutions. You'll work with machine data from advanced sorting systems, helping collect, transform and visualise operational information to create meaningful insights that support performance monitoring, troubleshooting and continuous improvement.
Here's a sneak peek into what you could be doing:
- Engineering Data Pipelines: Design and build data pipelines that collect, transform, and prepare operational machine telemetry, from high-level system performance metrics to granular item-level data
- Processing Real-Time Streams: Working with high-throughput telemetry streams and event-driven messaging systems, combining data from multiple machine sources
- Optimizing for Search & Analytics: Transforming and denormalizing complex operational data, loading it into scalable analytics and search platforms to ensure fast, reliable insights for operators and technicians
- Developing Observability Solutions: Build dashboards and visualizations that help customers and engineering teams understand machine behaviour, diagnose anomalies, and monitor operational outcomes
- Writing Core Logic: Using Python, C++, and other software tools to support data processing, system integration, and time-series data analysis
- Cross-Functional Collaboration: Partnering with software, electronics, and systems applications engineers to turn complex hardware events into intuitive operational metrics
Through this project, you'll gain exposure to observability concepts, using metrics, events and operational data to provide greater visibility into machine behaviour and support faster diagnosis and performance improvement.
What You'll Learn
During this internship, you'll gain hands-on experience with:
- Modern Data Architecture: Time-series data, distributed search platforms, and observability principles used in large-scale operational systems
- Industrial IoT Integration: Working with telemetry from industrial hardware, integrating data across APIs, databases, and event-driven messaging systems
- Professional Software Practices: Collaborative software development using Git, code reviews, testing, and agile delivery methodologies
- Industrial Domain Expertise: Deep understanding of advanced sorting systems and high-throughput automation used throughout the global food industry
- Data-Driven Hardware Diagnostics: Applying telemetry and operational data to monitor machine health, investigate anomalies, and improve product quality outcomes
Deadline to submit an application is Sunday, August 16th, 2026!
Qualifications
You could be a great fit if you are currently studying Computer Science, Software Engineering, or a related discipline and have an interest in data visualization & processing, software development and improvement.
To apply, you'll need to:
- Be available to participate in our full-time, 10-week internship programme running between November 2026 and February 2027
- Be able to work onsite five days per week from our R&D facility in Auckland, NZ
- Submit your application by 16 August 2026
- Attach your academic transcript with your application
- Be prepared to provide two academic or professional references if shortlisted
We welcome applications from students in all years of study. Preference may be given to students in their penultimate year of study.
Additional Information
If you don't meet every single requirement, we encourage you to apply. At TOMRA, we recognize that diverse perspectives drive innovation and success. You may be just the right candidate for this or other roles. 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.