量子软件工程师 (美国)
Quantum Software Engineer (US)
Zapata Quantum 正在塑造量子计算的未来：设定哪些是可行、有价值且值得构建的标准。公司为密码学、制药、金融、材料发现、国防等领域提供量子应用支持，将前沿研究转化为实际影响。
Zapata 是唯一一家在 DARPAs 量子基准测试计划的每个技术领域都有贡献的组织，使其对如何在实践中实现量子计算有了独特而全面的理解。现在经过重组并专注于核心业务，Zapata Quantum 是唯一一家公开上市的纯量子软件公司，全心致力于释放量子计算的商业潜力。
我们正处于行业关键转折点上——汇聚一支团队，帮助定义量子如何在现实世界中创造价值，并随着我们共同塑造商业路径，提供有意义的所有权机会。
关于该职位
我们正在寻找一名量子软件工程师，开发人工智能驱动的工具，大幅加速量子应用的设计和资源估算过程。您将把现代人工智能——大语言模型、编码代理和基于机器学习的启发式方法——与量子电路构建、编译和分析相结合，将目前需要数周专家努力的工作流程压缩到几小时内。您的工具将直接影响 Zapata 在密码学、制药、金融、材料发现和国防等领域评估和交付量子解决方案的能力。
该职位提供高水平的个人主导权，非常适合希望在一个小型专注团队中推动人工智能辅助科学软件前沿的工程师。您将与算法科学家和客户紧密合作，了解他们的设计和资源估算工作流程，然后构建将这些流程转化为自动化、可扩展管道的工具。该职位根据适用的工资和工时法律被归类为豁免职位。
您将负责
- 设计和构建人工智能驱动的工具，加速量子应用设计——从问题输入到算法选择、电路构建和验证
- 开发自动化的资源估算管道，利用大语言模型和机器学习模型快速预测候选量子解决方案的量子比特数量、门数量和运行时间
- 构建代理工作流，协调量子 SDK、编译步骤、模拟器和分析工具
- 集成最先进技术
查看英文原文
About Zapata Quantum
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.
We’re rebuilding at a pivotal moment for the industry—bringing together a team that will help define how quantum delivers value in the real world, with the opportunity for meaningful ownership as we shape the commercial path forward.
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. You will fuse modern AI—LLMs, coding agents, and ML-based heuristics—with quantum circuit construction, compilation, and analysis, compressing workflows that currently take weeks of expert effort into hours. Your tooling will directly shape Zapata’s ability to evaluate and deliver quantum solutions across cryptography, pharmaceuticals, finance, materials discovery, and defense.
This position offers a high level of individual ownership and is well-suited to engineers who are excited to push the frontier of AI-assisted scientific software within a small, focused team. You will partner closely with algorithm scientists and customers to understand their design and resource-estimation workflows, then build tools that turn those workflows into automated, scalable pipelines. This position is classified as exempt under applicable wage and hour laws.
What you'll do
- 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
- 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
Desired Programming 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
- Demonstrated 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
Originally posted on Himalayas