Head of Research And Development

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 a Head of R&D to maximize system performance and harden our sensing platform for hyperscale deployment.TasksDeliver commercial-grade robustness and performance.Push the current sensing architecture to its performance limitsReduce variability, drift, and cross-sensitivity to defined target marginsTighten repeatability and stability across solvent, temperature, and chemistry variationDesign and execute rigorous stress, aging, and reliability testingContinuously identify and eliminate dominant performance bottlenecksTranslate experimental findings into concrete product improvementsLead a small applied science team executing focused experimental programsYou are accountable for ensuring the system meets the reliability and stability standards required for large-scale AI data center deployment.RequirementsPhD in Physics, Physical Chemistry, Materials Science, or related fieldStrong hands-on experimental track record in coupled physical–chemical systemsRelentless focus on tightening tolerances and reducing noiseThink in governing variables, failure modes, and uncertainty boundsAble to connect experimental rigor to real-world product requirementsClear communicator with high ownershipBenefitsCompetitive compensation with significant stock options.High ownership role in a fast-moving deep-tech startup.Work directly on hardware deployed with leading AI infrastructure customers.Modern lab and office in Berlin with the tools, budget, and autonomy to build fast.Compassionate, low-politics culture with high ambition and high ownership.If you want to take a novel sensing platform to commercial-grade performance and help accelerate the AI infrastructure buildout, let’s talk.