
CuspAI helps companies design advanced materials faster by using AI-driven simulation and prediction to target sustainability and renewable-energy applications. The company operates an AI…

CuspAI helps companies design advanced materials faster by using AI-driven simulation and prediction to target sustainability and renewable-energy applications. The company operates an AI…
Headquarters: Cambridge, United Kingdom
Founded: 2024
Mission: AI-driven materials discovery for sustainability and clean energy
Notable funding: Seed $30M (Jun 2024); Series A reported €85M+ (Sep 2025)
Founders: Dr. Chad (Alyn) Edwards and Prof. Max Welling
Materials discovery for sustainability and clean energy
2024
Technology, Information and Internet
30000000
Seed round reported June 18, 2024
85000000+
Series A reported September 2025 (reported as €85M+)
“Includes participation from institutional VCs and strategic corporate investors (e.g., NEA, Temasek, Samsung, Hyundai) alongside early-stage investors such as Hoxton Ventures, Basis Set Ventures and Lightspeed.”
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About CuspAI CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
We’re on the cusp of the on-demand materials era. Join us. The Role
Due to expansion into a new area, we are seeking an Application Scientist (Mesoscale / Coarse-Grained Force Fields) to bridge the gap between our frontier AI models and real-world industrial materials challenges.
Your Impact
In this role you will be building the mesoscale simulation frameworks and coarse-grained force field methodologies that bridge molecular discovery with macroscopic material performance , which is critical for delivering actionable, high-impact breakthroughs for our global partners.
Your main focus initially will be leading the technical delivery for 1-2 key client projects, acting as the subject matter expert in mesoscale phenomena. Over time, you will play a foundational role in scaling our ML platform’s capabilities from the atomic level to the larger-scale structures required for next-generation polymers, membranes, and complex fluids.
What You Will Do
Method Development & Research
Partner Project Execution
Interdisciplinary Collaboration
Must Have Skills and Qualifications:
Bonus Points (But Not Critical):
Additional Considerations
This role could be based in our Cambridge, London, Amsterdam or Berlin offices, with the expectation of being in the office three days per week. Additionally, there may be regular travel required to other locations for collaboration and project work.
What we offer
Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world. CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team. Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
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