Quantum Software Engineer (non-US)

About the role

We are seeking a Quantum Software Engineer to build AI-powered tools that massively accelerate how quantum applications are designed and resource-estimated.

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

Qualifications

• 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
• Able 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

Desired Skills

• Python — for tooling, scientific code, and LLM-powered applications
• LLM APIs and tool-use / function-calling patterns (Anthropic, OpenAI, or similar)
• Agent frameworks and orchestration (LangGraph, pydantic-ai, or custom harnesses)
• Quantum SDKs (Qiskit, Cirq, PennyLane, or similar) for scripting design and estimation workflows
• AI-assisted development (e.g., Claude Code)
• Git and modern CI/CD tooling
• Evals and benchmark design for AI systems
• Software testing frameworks (pytest, hypothesis)
• NumPy, SciPy, and the scientific Python stack
• Retrieval-augmented generation and vector databases
• Containerization (Docker) and cloud infrastructure (AWS, Azure, or GCP)
• Prompt Engineering

Preferred Experience

• Experience shipping software that leverages LLMs, AI agents, or other machine learning components
• 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

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Company Information

Zapata Quantum is shaping the future of quantum computing: setting the standards for what’s viable, valuable, and worth building. The Company powers quantum applications across cryptography, pharmaceuticals, finance, materials discovery, defense, and beyond, translating cutting-edge research into real-world impact. Zapata is the only organization to have contributed across every technical area of DARPA’s Quantum Benchmarking program, giving it a uniquely comprehensive view of what it takes to make quantum computing work in practice. Now restructured and sharply focused, Zapata Quantum stands alone as the only publicly traded, pure-play quantum software company fully dedicated to unlocking quantum’s commercial potential.