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.
Tasks
Deliver commercial-grade robustness and performance.
Push the current sensing architecture to its performance limits
Reduce variability, drift, and cross-sensitivity to defined target margins
Tighten repeatability and stability across solvent, temperature, and chemistry variation
Design and execute rigorous stress, aging, and reliability testing
Continuously identify and eliminate dominant performance bottlenecks
Translate experimental findings into concrete product improvements
Lead a small applied science team executing focused experimental programs
You are accountable for ensuring the system meets the reliability and stability standards required for large-scale AI data center deployment.
Requirements
PhD in Physics, Physical Chemistry, Materials Science, or related field
Strong hands-on experimental track record in coupled physical–chemical systems
Relentless focus on tightening tolerances and reducing noise
Think in governing variables, failure modes, and uncertainty bounds
Able to connect experimental rigor to real-world product requirements
Clear communicator with high ownership
Benefits
Competitive compensation and equity.
Silicon Valley ambition and speed with a compassionate company culture
High autonomy, high accountability, zero BS.
If you want to take a novel sensing platform to commercial-grade performance and help accelerate the AI infrastructure buildout, let’s talk.
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