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Skeleton Technologies seeks a Test Engineer in Advanced Engineering in Finland to design and run tests on high-power energy storage systems, build robust test setups, and analyze data to validate performance and reliability.
The role emphasizes safety, repeatability, and testing under real-world conditions, with hands-on work on electrical/power electronics, and opportunities to develop Python scripts and data-driven testing workflows.
A Test Engineer in Advanced Engineering typically designs and runs tests on energy storage systems, builds test setups, and analyzes data to validate performance and reliability. A strong candidate brings hands on experience with electrical or power electronics testing, measurement tools, and a careful approach to documenting results. Since the company makes high power storage for demanding uses like data centers and grids, the work likely calls for attention to safety, repeatability, and real world conditions.
AI can help plan test campaigns, spot patterns in large data sets, and predict where a component might fail, which speeds up learning. The human parts stay central: setting up safe and valid experiments, judging when a result is real, and deciding what to test next. This role sits close to the hardware, so physical intuition and careful observation remain hard to replace.
The role offers a chance to use data analysis and machine learning tools on test results from supercapacitors and SuperBatteries, turning raw measurements into useful models. Building skills in Python, statistical analysis, and automated test scripts would help, along with learning how AI is used for predictive maintenance and quality checks. Working with energy storage for AI data centers also gives direct exposure to how power systems support AI growth.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Skeleton Technologies makes high-power energy storage systems, including supercapacitors and SuperBatteries, for AI data centers, power grids, transportation and defense (per the company).