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CuspAI
CuspAI
11 – 50 Employees
Artificial IntelligenceB2BScience
CuspAI is a Cambridge, UK–based artificial intelligence and materials science company developing faster ways to discover and design novel materials. Its AI Materials Foundry connects materials scientists with industrial laboratories, data and computing partners, and integrated lab workflows to support B2B materials discovery. The company focuses on applications including semiconductors, energy storage, catalysts, separations, and other advanced manufacturing fields, placing its work at the intersection of AI, scientific research, and industrial technology.
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AI Labs Ecosystem Developer

Build CuspAI’s global laboratory network for AI-driven materials discovery. Connect partner labs, automation workflows, and scientific teams to advance closed-loop experimentation.

USUnited StatesHybridFull-timeMiddleSeniorEnglish RequiredSoftware Engineer
Python

Description

  • Develop and coordinate global lab engagement, including participation from AI Materials Foundry members.
  • Create scalable collaboration frameworks with lab partners to advance experimental campaigns and data-led materials discovery.
  • Find and evaluate prospective laboratory partners.
  • Integrate experimental workflows with the informatics layer.
  • Coordinate relationships with lab stakeholders worldwide and the Lab Integration team.
  • Serve as the operational link between laboratory partners, enterprise clients, and research institutions across Europe, the United States, and APAC.
  • Synchronize schedules across partnership and lab integration teams and scientific staff.
  • Coordinate ecosystem work with the company roadmap and the Strategy & Operations, Lab Integration, and AI Materials Foundry teams.
  • Determine which experimental capabilities are needed for advanced materials discovery campaigns.
  • Translate partner laboratory feedback into priorities for the agentic and lab connection platforms.
  • Help establish data links and workflows with partner laboratories.

Requirements

  • Practical experimental laboratory experience in materials science, experimental chemistry, semiconductor foundries, or a related technical field.
  • Familiarity with potential laboratory partners in materials science, chemicals, or semiconductors, through an existing network or industry knowledge.
  • Experience improving or building interfaces for laboratory workflows and processes.
  • Demonstrated ability to plan experimental campaigns around defined goals and data feedback.
  • Able to explain complex technical concepts to AI researchers and experimental teams.
  • Experience with high-throughput experimentation, robotics, or commercial lab automation is an advantage.
  • Professional coding ability, such as Python, for automating data translation and configuring APIs is an advantage.
  • Willing and able to work from a designated office three days per week.
  • Able to travel regularly to partner sites and other locations as needed.

Benefits

  • Equity in CuspAI.
  • 28 days of annual leave in Germany, the Netherlands, and the United Kingdom, or 21 days in Japan, Singapore, and the United States, plus local public holidays.
  • 26 weeks of fully paid leave for primary caregivers and 12 weeks for secondary caregivers.
  • Professional development budget.
  • Work on materials science, sustainability, and climate-related challenges.
  • Collaborate across disciplines with AI researchers, computational chemists, experimental scientists, researchers, and engineers.
  • Regular travel to partner sites and other collaboration locations.

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