Teams at Multiverse Computing

Design, train, fine-tune, compress, evaluate, and deploy large language models using quantum-inspired techniques. Build RAG systems and AI agents, develop custom deep learning solutions, optimize model performance, and support applications beyond LLMs such as computer vision. Document experiments, participate in code reviews, mentor junior engineers, collaborate cross-functionally, and track emerging AI technologies.

Build and optimize scalable, secure, highly available AWS infrastructure and production APIs. Implement DevOps strategies, automate software delivery through CI/CD pipelines, manage containerized deployments, troubleshoot infrastructure and security issues, and deploy software stacks to enterprise client environments. The role requires collaboration with development and operations teams, customer-focused problem solving, and delivery in a fast-paced environment.

Own partnerships and go-to-market activities across semiconductor companies, GPU and data-center hardware resellers, and data-center operators. Build partner programs, joint offers, sales pipelines, and commercial models for AI infrastructure products and token-based inference services. Lead customer opportunities from qualification through contract signature, negotiate partnership and reseller agreements, forecast revenue, and communicate partner requirements to internal product and engineering teams.