🕒 3 days ago
Lead AI/ML research and customer programs, connecting researchers, materials scientists, engineers, and partners to deliver technical initiatives and scalable model-development processes.
Cuspai jobs
CuspAI uses AI to support the discovery of materials for semiconductors, energy, and climate.
24 open roles at Cuspai
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🕒 4 days ago
Build and operate secure, reliable integrations connecting AI-driven experiment workflows with partner laboratories, instruments, and data systems to accelerate materials discovery.
🕒 17 days ago
Build security pipelines and AI-specific safeguards that protect models, research data, and intellectual property while embedding security into cloud infrastructure and engineering workflows.
🕒 17 days ago
Optimize and profile large-scale AI training and inference across GPU and HPC infrastructure, identifying performance bottlenecks and building tools and low-level improvements that accelerate materials discovery.
🕒 17 days ago
Build and operate the cloud-native ML platform that enables researchers to train, evaluate, and deploy models at scale, owning infrastructure, MLOps, reliability, GPU workloads, and developer experience.
🕒 17 days ago
Design scientific data models, schemas, and ingestion pipelines that harmonize experimental and computational materials data into trustworthy, interoperable, ML-ready assets.
🕒 17 days ago
Own partner-lab onboarding and product requirements for AI-driven experimentation, translating laboratory workflows and data needs into platform capabilities and helping validate closed-loop campaigns with scientific and engineering teams.
🕒 17 days ago
Lead CuspAI’s scientific applications work in Singapore, translating partner needs into technical strategy and project deliverables while building and managing a regional team and aligning with global AI and engineering groups.
🕒 17 days ago
Build and secure scalable data platforms, pipelines, Python APIs, and web applications that make complex materials science datasets accessible to researchers, machine learning teams, and partners.
🕒 18 days ago
Lead scientific delivery for partner materials-discovery projects, translating partner challenges into campaigns and workflows while bridging experimental, computational, and machine-learning teams.
🕒 18 days ago
Own scientific delivery of partner materials-discovery projects, translating partner challenges into validated workflows and campaigns while bridging experimental, computational, and machine-learning teams.
🕒 19 days ago
Build and grow a global network of materials labs, enabling automated experimental workflows and coordinating partners, scientists, and integration teams to advance closed-loop AI materials discovery.
🕒 19 days ago
Build and own a suite of full-stack internal applications, translating researchers’ needs into scalable Python services and intuitive interfaces that streamline scientific workflows and complex data use.
🕒 19 days ago
Own partner-lab onboarding and product requirements for AI-driven experimentation, translating laboratory workflows and data needs into platform capabilities and validating closed-loop campaigns with scientific and engineering teams.
🕒 21 days ago
Build and activate a global AI Materials Foundry partner community, coordinating cross-cultural engagement, events, collaboration frameworks, and partner feedback to support platform adoption and product development.
🕒 21 days ago
Build and activate a global AI Materials Foundry partner community, coordinating cross-cultural engagement, events, collaboration frameworks, and partner feedback to support platform adoption and product development.
🕒 25 days ago
Build and grow commercial partnerships with industrial R&D, materials, chemicals, and semiconductor organizations, translating scientific challenges into proposals and shaping CuspAI’s go-to-market approach.
🕒 25 days ago
Build and close partnerships with industrial R&D, materials, chemicals, and semiconductor organizations, translating scientific challenges into proposals and shaping CuspAI’s go-to-market approach.
🕒 28 days ago
Train and evaluate multimodal foundation models for materials discovery, owning model development end to end—from scientific data curation and experiment design to large-scale training, evaluation, and platform integration.
📅 Sep 25
Own and optimize recruiting systems, analytics, and interview coordination across hiring pipelines, improving operational efficiency and candidate experience while supporting a growing talent acquisition team.
📅 Sep 24
Build scientific and technical enablement for AI materials-science partners, advising researchers, leading technical workshops, creating developer resources, and channeling partner feedback into platform development.
📅 Sep 23
Build scientific and technical enablement for AI materials discovery, advising enterprise and research partners, creating developer resources, and channeling partner feedback into platform development.
📅 Aug 13
Build and improve autonomous AI agents that orchestrate materials-discovery workflows, connect models and simulation tools, and guide computational and physical experiments toward new materials.
📅 Jul 16
Develop and integrate fast, accurate machine learning force fields for high-throughput Monte Carlo simulations, distilling student potentials and validating them within the kUPS framework for MOF screening.
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