Quantum Software Engineer (non-US)

Zapata Quantum is shaping the future of quantum computing, focusing on translating cutting-edge research into real-world impact. They are seeking a Quantum Software Engineer to build AI-powered tools that accelerate the design and resource estimation of quantum applications, working closely with algorithm scientists and customers to create automated, scalable workflows.

Responsibilities:

• Design and build AI-powered tools that accelerate quantum application design—from problem intake through algorithm selection, circuit construction, and validation
• Develop automated resource estimation pipelines that use LLMs and ML models to rapidly predict qubit counts, gate counts, and runtime for candidate quantum solutions
• Build agentic workflows that orchestrate quantum SDKs, compilation passes, simulators, and analysis tools
• Integrate state-of-the-art AI coding assistants and LLM APIs directly into internal scientific tooling to compress expert-led workflows into automated pipelines
• Benchmark and continuously improve the accuracy, speed, and reliability of AI-driven tooling against expert-curated baselines
• Collaborate closely with quantum algorithm scientists to capture their reasoning and encode it into reusable AI-driven tools
• Deliver high-quality software with minimal supervision, demonstrating autonomy in execution and technical decision-making

Requirements:

• Strong software engineering fundamentals, including testing, code review, and CI/CD practices
• BS or MS in Computer Science, Physics, Engineering, or a related field, or equivalent professional experience
• Demonstrated experience shipping software that leverages LLMs, AI agents, or other machine learning components
• Proficient programming skills in Python, with working knowledge of modern LLM APIs (Anthropic, OpenAI, or equivalent) and tool-use / function-calling patterns
• Deep familiarity with AI-assisted development workflows (Claude Code, Cursor, or similar) and a drive to use them to massively accelerate your own output and that of the team
• Familiarity with quantum computing concepts and a willingness to learn quantum algorithms and resource estimation in depth
• Ability to work independently and manage deliverables with minimal oversight
• Strong judgment about when to apply AI and when not to
• A commitment to measuring tool quality against expert baselines
• Experience building developer tools, scientific workflows, or research automation that leverages AI to speed up expert work
• Strong communication skills and comfort collaborating across research and engineering teams