
11 - 50 employees
Founded 2017
🔬 Science
🏢 Enterprise
🤖 Artificial Intelligence
Science • Enterprise • Artificial Intelligence
Zapata Quantum is a quantum software and applications company that provides a platform (Quantum Application Intelligence) to identify high-value quantum use cases, assess hardware readiness, and accelerate quantum algorithm and application development. The company focuses on chemistry and pharma (drug discovery), optimization, simulation (materials, CFD, defense simulations), and machine learning use cases, and publishes research on quantum algorithms and resource estimation. Zapata partners with industry and research leaders (e. g. , NVIDIA, DARPA, Dana-Farber) and serves Fortune 500 enterprises and government agencies to move quantum workflows from use-case identification through logical circuit design to hardware execution.
🔥 0 minutes ago
🇺🇸 United States – Remote
⏰ Full Time
đźź Senior
🧑‍💻 Full-stack Engineer
đź‘» Ghost score 12%
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11 - 50 employees
Founded 2017
🔬 Science
🏢 Enterprise
🤖 Artificial Intelligence
Science • Enterprise • Artificial Intelligence
Zapata Quantum is a quantum software and applications company that provides a platform (Quantum Application Intelligence) to identify high-value quantum use cases, assess hardware readiness, and accelerate quantum algorithm and application development. The company focuses on chemistry and pharma (drug discovery), optimization, simulation (materials, CFD, defense simulations), and machine learning use cases, and publishes research on quantum algorithms and resource estimation. Zapata partners with industry and research leaders (e. g. , NVIDIA, DARPA, Dana-Farber) and serves Fortune 500 enterprises and government agencies to move quantum workflows from use-case identification through logical circuit design to hardware execution.
• Design and build systems involving knowledge graphs, ontologies, graph and vector databases, RAG, and related AI-enabled application functionality • Design and implement scalable agentic pipelines involving custom agent tools, loops, and evaluation techniques • Design, architect, build, and continuously improve a modern, interactive web application • Select appropriate application frameworks and design intuitive user interfaces • Make architectural and product-related technical decisions using independent judgment • Design and implement backend systems, data models, APIs, data pipelines, and integrations • Integrate AI-enabled features such as intelligent search, retrieval, recommendations, and contextual assistance • Collaborate with product, design, domain experts, and company leadership to translate business and user needs into technical solutions • Personally write, test, debug, and ship production code • Contribute to engineering standards and best practices for software design, code quality, testing, documentation, security, and maintainability • Evaluate and adopt emerging technologies, including AI-assisted development tools • Work across the stack on a small engineering team
• 5+ years of professional software engineering experience, with substantial recent experience personally writing and shipping production code • Strong full-stack engineering fundamentals • Demonstrated experience with knowledge graphs, ontologies, RAG, retrieval systems, graph databases, vector databases, or related technologies • Demonstrated experience designing, building, and maintaining production-quality, user-facing web applications • Experience making architectural decisions and evaluating technical tradeoffs across frontend, backend, data, infrastructure, and application integrations • Experience using AI tools for engineering across development, testing, deployment and observability • Strong understanding of UI/UX principles and product usability • Ability to translate complex information into intuitive user experiences • Ability to rapidly prototype technical approaches and determine when to prioritize speed, simplicity, scalability, or long-term maintainability • Ability to work autonomously, manage competing priorities, and deliver results with minimal oversight • Strong communication and collaboration skills, including explaining technical decisions to technical and nontechnical stakeholders • Ability and enthusiasm to learn unfamiliar technical domains • Prior quantum computing experience is not required • Interest in scientific applications is nice to have • Comfortable and familiar with working in a startup environment • Familiarity with cloud platforms and system design • Desired programming and technical skills include knowledge graphs and ontologies, RAG/retrieval systems, graph databases/Cypher (Neo4j), vector databases (Pinecone, Weaviate, Milvus, FAISS), agentic design patterns, data pipeline design, React, Supabase/PostgreSQL, GCP/Firebase, TypeScript/JavaScript, Python, and AI-assisted development tools such as Claude Code, Codex, and Cursor
• Opportunity for meaningful ownership • High level of ownership in the role • Experimentation with emerging technologies and application of new approaches • Remote work in the United States
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