R&D Intern

Nordran accelerates AI infrastructure by making liquid cooling chemistry measurable and controllable. Our patent-pending chemical–physical sensing technology continuously monitors coolant stability in hyperscale AI data centers to detect degradation before it becomes downtime.

With pilot systems being deployed, we are now driving performance, robustness, and long-term stability to full commercial readiness.

We are hiring an R&D Intern to help us accelerate our industrial R&D pipeline and maturing of our sensing platform.

TASKS

Help increase experimental throughput and data quality.

• Prepare, run, and document structured experiments on our chemical–physical sensing mechanism
• Support repeatability, drift, temperature, aging, and cross-sensitivity studies
• Prepare coolant samples and controlled chemistry variations
• Operate test setups for industrial sensors such as pH, conductivity, refractive index, turbidity, and reserve alkalinity
• Collect, clean, and analyze experimental time-series data
• Identify sources of variability in measurements, protocols, and sample preparation
• Help translate experimental findings into concrete setup, protocol, and product improvements
• Maintain clear lab documentation so results are traceable and reproducible

You will work closely with the R&D team to accelerate our iteration loop and help push a novel sensing platform toward commercial-grade performance.

REQUIREMENTS

• Currently studying or recently completed a degree in Physics, Physical Chemistry, Materials Science, Analytical Chemistry, or a related experimental science
• Strong hands-on experimental mindset
• Careful, systematic approach to sample preparation, measurement, and documentation
• Comfortable running repetitive experiments with high consistency
• Basic Python data analysis skills
• Able to think in variables, controls, noise, drift, and uncertainty
• Practical, curious, and willing to work close to the experimental details
• Clear communicator with high ownership

BENEFITS

• Work on a novel sensing platform for one of the fastest-growing infrastructure markets in the world
• Learn how to leverage AI tools to accelerate industrial R&D, from experiment planning to data analysis and technical documentation
• High autonomy and direct exposure to core product development
• Fast learning curve across chemistry, physics, sensing, and industrial systems
• High ownership, high standards, no BS

If you want to work hands-on at the edge of applied science and help make liquid cooling chemistry measurable in real time, let’s talk.