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Shearwater GeoServices invites graduates to join a multidisciplinary team at our Technology & Innovation Centre in Høvik, Oslo for a permanent, full-time graduate position beginning in August 2027. You will contribute to geophysical data acquisition and processing, working with software, data science and engineering disciplines to solve real-world problems.
You will gain hands-on experience from day one within a structured graduate programme, including mentorship and professional development
Some software is built for a screen. Ours must help acquire, process and understand geophysical data from beneath the ocean floor, reliably and at scale, in some of the world's most demanding operating environments.
At Shearwater, we develop technology that combines software, data science, electronics, sensors and engineering to support our global seismic operations. We are looking for a Graduate Software Developer to join our Technology & Innovation Centre in Høvik, Oslo from August 2027.
This is a permanent, full-time position and an opportunity to start your career by contributing to real products and systems from day one.
As a graduate at Shearwater, you won't be sitting on the sidelines. You will become part of a multidisciplinary engineering environment where software developers work closely with mathematicians, physicists, cybernetics engineers, electronics engineers and mechanical designers to solve complex technical challenges.
From the beginning, you will be trusted with meaningful responsibilities and given the opportunity to contribute to products used across our global fleet. You will also be part of Shearwater's Graduate Programme, connecting with graduates across the organisation while benefiting from training, mentorship and professional development opportunities.
Depending on your interests and strengths, you may be involved in:
We are looking for candidates who will complete a Master's degree in 2027, preferably within:
We believe you will thrive in this role if you:
We are particularly interested in candidates with a strong computational background, whether from software engineering, cybernetics, mathematics, physics or similar disciplines.