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 Applied Science 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.